Overview

Dataset statistics

Number of variables439
Number of observations191652
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory533.2 MiB
Average record size in memory2.8 KiB

Variable types

NUM309
BOOL93
CAT37

Warnings

ANZ_HH_TITEL is highly skewed (γ1 = 24.82578347) Skewed
LNR has unique values Unique
ALTER_HH has 68747 (35.9%) zeros Zeros
ALTERSKATEGORIE_FEIN has 11019 (5.7%) zeros Zeros
ANZ_HAUSHALTE_AKTIV has 2450 (1.3%) zeros Zeros
ANZ_HH_TITEL has 185564 (96.8%) zeros Zeros
ANZ_KINDER has 178880 (93.3%) zeros Zeros
ANZ_PERSONEN has 7146 (3.7%) zeros Zeros
ANZ_TITEL has 188912 (98.6%) zeros Zeros
D19_BANKEN_ANZ_12 has 180150 (94.0%) zeros Zeros
D19_BANKEN_ANZ_24 has 173701 (90.6%) zeros Zeros
D19_BANKEN_DIREKT has 166726 (87.0%) zeros Zeros
D19_BANKEN_GROSS has 175064 (91.3%) zeros Zeros
D19_BANKEN_LOKAL has 187347 (97.8%) zeros Zeros
D19_BANKEN_ONLINE_QUOTE_12 has 184858 (96.5%) zeros Zeros
D19_BANKEN_REST has 176243 (92.0%) zeros Zeros
D19_BEKLEIDUNG_GEH has 154242 (80.5%) zeros Zeros
D19_BEKLEIDUNG_REST has 137848 (71.9%) zeros Zeros
D19_BILDUNG has 155747 (81.3%) zeros Zeros
D19_BIO_OEKO has 174542 (91.1%) zeros Zeros
D19_BUCH_CD has 102937 (53.7%) zeros Zeros
D19_DIGIT_SERV has 183539 (95.8%) zeros Zeros
D19_DROGERIEARTIKEL has 160837 (83.9%) zeros Zeros
D19_ENERGIE has 172916 (90.2%) zeros Zeros
D19_FREIZEIT has 166363 (86.8%) zeros Zeros
D19_GARTEN has 179969 (93.9%) zeros Zeros
D19_GESAMT_ANZ_12 has 111999 (58.4%) zeros Zeros
D19_GESAMT_ANZ_24 has 91722 (47.9%) zeros Zeros
D19_GESAMT_ONLINE_QUOTE_12 has 134576 (70.2%) zeros Zeros
D19_HANDWERK has 143537 (74.9%) zeros Zeros
D19_HAUS_DEKO has 132811 (69.3%) zeros Zeros
D19_KINDERARTIKEL has 153651 (80.2%) zeros Zeros
D19_KOSMETIK has 139367 (72.7%) zeros Zeros
D19_LEBENSMITTEL has 170971 (89.2%) zeros Zeros
D19_LOTTO has 135978 (71.0%) zeros Zeros
D19_NAHRUNGSERGAENZUNG has 174094 (90.8%) zeros Zeros
D19_RATGEBER has 161270 (84.1%) zeros Zeros
D19_REISEN has 134825 (70.3%) zeros Zeros
D19_SAMMELARTIKEL has 145113 (75.7%) zeros Zeros
D19_SCHUHE has 163720 (85.4%) zeros Zeros
D19_SONSTIGE has 76573 (40.0%) zeros Zeros
D19_SOZIALES has 22750 (11.9%) zeros Zeros
D19_TECHNIK has 117416 (61.3%) zeros Zeros
D19_TELKO_ANZ_12 has 184467 (96.3%) zeros Zeros
D19_TELKO_ANZ_24 has 178411 (93.1%) zeros Zeros
D19_TELKO_MOBILE has 159544 (83.2%) zeros Zeros
D19_TELKO_REST has 168650 (88.0%) zeros Zeros
D19_TIERARTIKEL has 183788 (95.9%) zeros Zeros
D19_VERSAND_ANZ_12 has 122306 (63.8%) zeros Zeros
D19_VERSAND_ANZ_24 has 102484 (53.5%) zeros Zeros
D19_VERSAND_ONLINE_QUOTE_12 has 140155 (73.1%) zeros Zeros
D19_VERSAND_REST has 161199 (84.1%) zeros Zeros
D19_VERSI_ANZ_12 has 177236 (92.5%) zeros Zeros
D19_VERSI_ANZ_24 has 168832 (88.1%) zeros Zeros
D19_VERSICHERUNGEN has 144720 (75.5%) zeros Zeros
D19_VOLLSORTIMENT has 108259 (56.5%) zeros Zeros
D19_WEIN_FEINKOST has 166431 (86.8%) zeros Zeros
GEBURTSJAHR has 93024 (48.5%) zeros Zeros
KBA05_ALTER1 has 22932 (12.0%) zeros Zeros
KBA05_ALTER4 has 2435 (1.3%) zeros Zeros
KBA05_ANTG1 has 22465 (11.7%) zeros Zeros
KBA05_ANTG2 has 99709 (52.0%) zeros Zeros
KBA05_CCM4 has 32427 (16.9%) zeros Zeros
KBA05_DIESEL has 5076 (2.6%) zeros Zeros
KBA05_HERST1 has 5354 (2.8%) zeros Zeros
KBA05_HERST3 has 1918 (1.0%) zeros Zeros
KBA05_HERST4 has 3323 (1.7%) zeros Zeros
KBA05_HERST5 has 6536 (3.4%) zeros Zeros
KBA05_KW3 has 20709 (10.8%) zeros Zeros
KBA05_MOD1 has 32586 (17.0%) zeros Zeros
KBA05_MOD4 has 5107 (2.7%) zeros Zeros
KBA05_SEG10 has 9635 (5.0%) zeros Zeros
KBA05_SEG5 has 18467 (9.6%) zeros Zeros
KBA05_VORB2 has 11641 (6.1%) zeros Zeros
KBA05_ZUL3 has 5137 (2.7%) zeros Zeros
KBA05_ZUL4 has 8776 (4.6%) zeros Zeros
KBA13_BJ_2008 has 19625 (10.2%) zeros Zeros
KBA13_BJ_2009 has 16351 (8.5%) zeros Zeros
KBA13_CCM_0_1400 has 28511 (14.9%) zeros Zeros
KBA13_CCM_1000 has 19982 (10.4%) zeros Zeros
KBA13_CCM_1200 has 29378 (15.3%) zeros Zeros
KBA13_CCM_1800 has 24878 (13.0%) zeros Zeros
KBA13_CCM_2500 has 15780 (8.2%) zeros Zeros
KBA13_CCM_2501 has 14392 (7.5%) zeros Zeros
KBA13_CCM_3000 has 9117 (4.8%) zeros Zeros
KBA13_KMH_0_140 has 21541 (11.2%) zeros Zeros
KBA13_KMH_211 has 20007 (10.4%) zeros Zeros
KBA13_KMH_250 has 20125 (10.5%) zeros Zeros
KBA13_KW_110 has 19148 (10.0%) zeros Zeros
KBA13_KW_120 has 17157 (9.0%) zeros Zeros
KBA13_KW_121 has 15218 (7.9%) zeros Zeros
KBA13_KW_40 has 19498 (10.2%) zeros Zeros
KBA13_KW_50 has 29204 (15.2%) zeros Zeros
KBA13_KW_60 has 24799 (12.9%) zeros Zeros
KBA13_KW_70 has 27083 (14.1%) zeros Zeros
KBA13_KW_80 has 23396 (12.2%) zeros Zeros
KBA13_KW_90 has 23538 (12.3%) zeros Zeros
KBA13_SEG_OBERKLASSE has 14998 (7.8%) zeros Zeros
KBA13_SEG_SPORTWAGEN has 14430 (7.5%) zeros Zeros
KBA13_SEG_WOHNMOBILE has 15839 (8.3%) zeros Zeros
KBA13_VORB_3 has 31766 (16.6%) zeros Zeros
LP_FAMILIE_FEIN has 50582 (26.4%) zeros Zeros
LP_FAMILIE_GROB has 47369 (24.7%) zeros Zeros
LP_LEBENSPHASE_FEIN has 51053 (26.6%) zeros Zeros
LP_LEBENSPHASE_GROB has 50941 (26.6%) zeros Zeros
ONLINE_AFFINITAET has 4110 (2.1%) zeros Zeros
VERDICHTUNGSRAUM has 116460 (60.8%) zeros Zeros
VHA has 120846 (63.1%) zeros Zeros
VHN has 5804 (3.0%) zeros Zeros

Reproduction

Analysis started2020-12-02 03:22:57.214911
Analysis finished2020-12-02 03:23:16.880187
Duration19.67 seconds
Software versionpandas-profiling v2.9.0
Download configurationconfig.yaml

Variables

LNR
Real number (ℝ≥0)

UNIQUE

Distinct191652
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean95826.5
Minimum1
Maximum191652
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2020-12-02T12:23:17.097030image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile9583.55
Q147913.75
median95826.5
Q3143739.25
95-th percentile182069.45
Maximum191652
Range191651
Interquartile range (IQR)95825.5

Descriptive statistics

Standard deviation55325.31123
Coefficient of variation (CV)0.5773487629
Kurtosis-1.2
Mean95826.5
Median Absolute Deviation (MAD)47913
Skewness-4.929942205e-19
Sum1.836534038e+10
Variance3060890063
MonotocityNot monotonic
2020-12-02T12:23:17.265379image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
20471< 0.1%
 
1611241< 0.1%
 
1467971< 0.1%
 
1447481< 0.1%
 
1345071< 0.1%
 
1324581< 0.1%
 
1386011< 0.1%
 
1365521< 0.1%
 
1590791< 0.1%
 
1570301< 0.1%
 
1631731< 0.1%
 
1508831< 0.1%
 
382001< 0.1%
 
1488341< 0.1%
 
1549771< 0.1%
 
1529281< 0.1%
 
443511< 0.1%
 
423021< 0.1%
 
484451< 0.1%
 
463961< 0.1%
 
361551< 0.1%
 
341061< 0.1%
 
1406541< 0.1%
 
1427031< 0.1%
 
1857121< 0.1%
 
Other values (191627)191627> 99.9%
 
ValueCountFrequency (%) 
11< 0.1%
 
21< 0.1%
 
31< 0.1%
 
41< 0.1%
 
51< 0.1%
 
61< 0.1%
 
71< 0.1%
 
81< 0.1%
 
91< 0.1%
 
101< 0.1%
 
ValueCountFrequency (%) 
1916521< 0.1%
 
1916511< 0.1%
 
1916501< 0.1%
 
1916491< 0.1%
 
1916481< 0.1%
 
1916471< 0.1%
 
1916461< 0.1%
 
1916451< 0.1%
 
1916441< 0.1%
 
1916431< 0.1%
 

AKT_DAT_KL
Real number (ℝ≥0)

Distinct9
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.565780686
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2020-12-02T12:23:17.399046image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile6
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.740472441
Coefficient of variation (CV)1.11156847
Kurtosis10.08732637
Mean1.565780686
Median Absolute Deviation (MAD)0
Skewness3.315897218
Sum300085
Variance3.029244319
MonotocityNot monotonic
2020-12-02T12:23:17.490310image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%) 
116613186.7%
 
262143.2%
 
959813.1%
 
540962.1%
 
325161.3%
 
423111.2%
 
716490.9%
 
615750.8%
 
811790.6%
 
ValueCountFrequency (%) 
116613186.7%
 
262143.2%
 
325161.3%
 
423111.2%
 
540962.1%
 
615750.8%
 
716490.9%
 
811790.6%
 
959813.1%
 
ValueCountFrequency (%) 
959813.1%
 
811790.6%
 
716490.9%
 
615750.8%
 
540962.1%
 
423111.2%
 
325161.3%
 
262143.2%
 
116613186.7%
 

ALTER_HH
Real number (ℝ≥0)

ZEROS

Distinct21
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.592015737
Minimum0
Maximum21
Zeros68747
Zeros (%)35.9%
Memory size1.5 MiB
2020-12-02T12:23:17.596721image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median9
Q315
95-th percentile20
Maximum21
Range21
Interquartile range (IQR)15

Descriptive statistics

Standard deviation7.315499232
Coefficient of variation (CV)0.8514299154
Kurtosis-1.373431474
Mean8.592015737
Median Absolute Deviation (MAD)9
Skewness0.08281035462
Sum1646677
Variance53.51652902
MonotocityNot monotonic
2020-12-02T12:23:17.694366image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%) 
06874735.9%
 
10144887.6%
 
9129766.8%
 
1190094.7%
 
2185034.4%
 
881114.2%
 
1680114.2%
 
1277794.1%
 
1577374.0%
 
1773323.8%
 
2065543.4%
 
1864503.4%
 
1461923.2%
 
1361643.2%
 
1961363.2%
 
753072.8%
 
618481.0%
 
52280.1%
 
452< 0.1%
 
315< 0.1%
 
213< 0.1%
 
ValueCountFrequency (%) 
06874735.9%
 
213< 0.1%
 
315< 0.1%
 
452< 0.1%
 
52280.1%
 
618481.0%
 
753072.8%
 
881114.2%
 
9129766.8%
 
10144887.6%
 
ValueCountFrequency (%) 
2185034.4%
 
2065543.4%
 
1961363.2%
 
1864503.4%
 
1773323.8%
 
1680114.2%
 
1577374.0%
 
1461923.2%
 
1361643.2%
 
1277794.1%
 

ALTERSKATEGORIE_FEIN
Real number (ℝ≥0)

ZEROS

Distinct25
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.24188634
Minimum0
Maximum25
Zeros11019
Zeros (%)5.7%
Memory size1.5 MiB
2020-12-02T12:23:17.789758image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q19
median10
Q312
95-th percentile16
Maximum25
Range25
Interquartile range (IQR)3

Descriptive statistics

Standard deviation3.534653567
Coefficient of variation (CV)0.3451174375
Kurtosis2.66393534
Mean10.24188634
Median Absolute Deviation (MAD)1
Skewness-0.7512944752
Sum1962878
Variance12.49377584
MonotocityNot monotonic
2020-12-02T12:23:17.898074image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%) 
107193037.5%
 
91971310.3%
 
11135087.0%
 
12129566.8%
 
8117766.1%
 
13116296.1%
 
0110195.7%
 
14108175.6%
 
1581164.2%
 
771853.7%
 
1644772.3%
 
1724781.3%
 
623751.2%
 
1815100.8%
 
197740.4%
 
204540.2%
 
52920.2%
 
212210.1%
 
241320.1%
 
251020.1%
 
2271< 0.1%
 
469< 0.1%
 
2324< 0.1%
 
312< 0.1%
 
212< 0.1%
 
ValueCountFrequency (%) 
0110195.7%
 
212< 0.1%
 
312< 0.1%
 
469< 0.1%
 
52920.2%
 
623751.2%
 
771853.7%
 
8117766.1%
 
91971310.3%
 
107193037.5%
 
ValueCountFrequency (%) 
251020.1%
 
241320.1%
 
2324< 0.1%
 
2271< 0.1%
 
212210.1%
 
204540.2%
 
197740.4%
 
1815100.8%
 
1724781.3%
 
1644772.3%
 

ANZ_HAUSHALTE_AKTIV
Real number (ℝ≥0)

ZEROS

Distinct216
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.932721808
Minimum0
Maximum523
Zeros2450
Zeros (%)1.3%
Memory size1.5 MiB
2020-12-02T12:23:18.018777image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q32
95-th percentile14
Maximum523
Range523
Interquartile range (IQR)1

Descriptive statistics

Standard deviation12.4279257
Coefficient of variation (CV)3.16013344
Kurtosis279.4423077
Mean3.932721808
Median Absolute Deviation (MAD)0
Skewness13.85621761
Sum753714
Variance154.4533371
MonotocityNot monotonic
2020-12-02T12:23:18.153911image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
112265764.0%
 
22226911.6%
 
377744.1%
 
445972.4%
 
536371.9%
 
634061.8%
 
731391.6%
 
828191.5%
 
024501.3%
 
924211.3%
 
1019631.0%
 
1116490.9%
 
1214030.7%
 
1311980.6%
 
149900.5%
 
158360.4%
 
166620.3%
 
175890.3%
 
185360.3%
 
194520.2%
 
204020.2%
 
213470.2%
 
223210.2%
 
232850.1%
 
242780.1%
 
Other values (191)45722.4%
 
ValueCountFrequency (%) 
024501.3%
 
112265764.0%
 
22226911.6%
 
377744.1%
 
445972.4%
 
536371.9%
 
634061.8%
 
731391.6%
 
828191.5%
 
924211.3%
 
ValueCountFrequency (%) 
5231< 0.1%
 
3951< 0.1%
 
3795< 0.1%
 
3671< 0.1%
 
3662< 0.1%
 
3481< 0.1%
 
34410< 0.1%
 
3311< 0.1%
 
3218< 0.1%
 
3113< 0.1%
 

ANZ_HH_TITEL
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct20
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.04908375597
Minimum0
Maximum23
Zeros185564
Zeros (%)96.8%
Memory size1.5 MiB
2020-12-02T12:23:18.267462image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum23
Range23
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4664985866
Coefficient of variation (CV)9.50413385
Kurtosis828.1450564
Mean0.04908375597
Median Absolute Deviation (MAD)0
Skewness24.82578347
Sum9407
Variance0.2176209313
MonotocityNot monotonic
2020-12-02T12:23:18.367522image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%) 
018556496.8%
 
151862.7%
 
24590.2%
 
31120.1%
 
463< 0.1%
 
652< 0.1%
 
1339< 0.1%
 
732< 0.1%
 
826< 0.1%
 
525< 0.1%
 
917< 0.1%
 
1715< 0.1%
 
1412< 0.1%
 
1112< 0.1%
 
2010< 0.1%
 
108< 0.1%
 
236< 0.1%
 
155< 0.1%
 
185< 0.1%
 
124< 0.1%
 
ValueCountFrequency (%) 
018556496.8%
 
151862.7%
 
24590.2%
 
31120.1%
 
463< 0.1%
 
525< 0.1%
 
652< 0.1%
 
732< 0.1%
 
826< 0.1%
 
917< 0.1%
 
ValueCountFrequency (%) 
236< 0.1%
 
2010< 0.1%
 
185< 0.1%
 
1715< 0.1%
 
155< 0.1%
 
1412< 0.1%
 
1339< 0.1%
 
124< 0.1%
 
1112< 0.1%
 
108< 0.1%
 

ANZ_KINDER
Real number (ℝ≥0)

ZEROS

Distinct9
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1032392044
Minimum0
Maximum8
Zeros178880
Zeros (%)93.3%
Memory size1.5 MiB
2020-12-02T12:23:18.470847image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum8
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4330894936
Coefficient of variation (CV)4.195009988
Kurtosis29.74948223
Mean0.1032392044
Median Absolute Deviation (MAD)0
Skewness5.048714712
Sum19786
Variance0.1875665094
MonotocityNot monotonic
2020-12-02T12:23:18.564445image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%) 
017888093.3%
 
174433.9%
 
239672.1%
 
311040.6%
 
42040.1%
 
546< 0.1%
 
66< 0.1%
 
71< 0.1%
 
81< 0.1%
 
ValueCountFrequency (%) 
017888093.3%
 
174433.9%
 
239672.1%
 
311040.6%
 
42040.1%
 
546< 0.1%
 
66< 0.1%
 
71< 0.1%
 
81< 0.1%
 
ValueCountFrequency (%) 
81< 0.1%
 
71< 0.1%
 
66< 0.1%
 
546< 0.1%
 
42040.1%
 
311040.6%
 
239672.1%
 
174433.9%
 
017888093.3%
 

ANZ_PERSONEN
Real number (ℝ≥0)

ZEROS

Distinct18
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.202711164
Minimum0
Maximum21
Zeros7146
Zeros (%)3.7%
Memory size1.5 MiB
2020-12-02T12:23:18.670835image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median2
Q33
95-th percentile5
Maximum21
Range21
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.215259089
Coefficient of variation (CV)0.5517105961
Kurtosis3.501621785
Mean2.202711164
Median Absolute Deviation (MAD)1
Skewness1.231945423
Sum422154
Variance1.476854654
MonotocityNot monotonic
2020-12-02T12:23:18.762130image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%) 
29037647.2%
 
14092921.4%
 
32723114.2%
 
4161018.4%
 
071463.7%
 
564823.4%
 
623321.2%
 
77160.4%
 
82220.1%
 
965< 0.1%
 
1022< 0.1%
 
1112< 0.1%
 
129< 0.1%
 
143< 0.1%
 
132< 0.1%
 
212< 0.1%
 
161< 0.1%
 
151< 0.1%
 
ValueCountFrequency (%) 
071463.7%
 
14092921.4%
 
29037647.2%
 
32723114.2%
 
4161018.4%
 
564823.4%
 
623321.2%
 
77160.4%
 
82220.1%
 
965< 0.1%
 
ValueCountFrequency (%) 
212< 0.1%
 
161< 0.1%
 
151< 0.1%
 
143< 0.1%
 
132< 0.1%
 
129< 0.1%
 
1112< 0.1%
 
1022< 0.1%
 
965< 0.1%
 
82220.1%
 

ANZ_STATISTISCHE_HAUSHALTE
Real number (ℝ≥0)

Distinct214
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.737070315
Minimum0
Maximum375
Zeros1161
Zeros (%)0.6%
Memory size1.5 MiB
2020-12-02T12:23:18.883824image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q32
95-th percentile13
Maximum375
Range375
Interquartile range (IQR)1

Descriptive statistics

Standard deviation12.30511153
Coefficient of variation (CV)3.292716084
Kurtosis298.7178424
Mean3.737070315
Median Absolute Deviation (MAD)0
Skewness14.58941702
Sum716217
Variance151.4157699
MonotocityNot monotonic
2020-12-02T12:23:19.014340image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
112747866.5%
 
22096110.9%
 
373253.8%
 
444522.3%
 
538122.0%
 
635571.9%
 
731271.6%
 
827821.5%
 
922751.2%
 
1018851.0%
 
1114910.8%
 
1212330.6%
 
011610.6%
 
1310380.5%
 
148400.4%
 
157170.4%
 
165760.3%
 
175090.3%
 
184100.2%
 
194000.2%
 
203420.2%
 
213310.2%
 
222730.1%
 
232490.1%
 
252260.1%
 
Other values (189)42022.2%
 
ValueCountFrequency (%) 
011610.6%
 
112747866.5%
 
22096110.9%
 
373253.8%
 
444522.3%
 
538122.0%
 
635571.9%
 
731271.6%
 
827821.5%
 
922751.2%
 
ValueCountFrequency (%) 
3755< 0.1%
 
3711< 0.1%
 
3651< 0.1%
 
35410< 0.1%
 
33919< 0.1%
 
32211< 0.1%
 
3171< 0.1%
 
3142< 0.1%
 
3091< 0.1%
 
3045< 0.1%
 

ANZ_TITEL
Real number (ℝ≥0)

ZEROS

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01543422453
Minimum0
Maximum5
Zeros188912
Zeros (%)98.6%
Memory size1.5 MiB
2020-12-02T12:23:19.124670image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum5
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.132729635
Coefficient of variation (CV)8.59969574
Kurtosis109.704461
Mean0.01543422453
Median Absolute Deviation (MAD)0
Skewness9.597437682
Sum2958
Variance0.017617156
MonotocityNot monotonic
2020-12-02T12:23:19.213068image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
018891298.6%
 
125331.3%
 
21980.1%
 
38< 0.1%
 
51< 0.1%
 
ValueCountFrequency (%) 
018891298.6%
 
125331.3%
 
21980.1%
 
38< 0.1%
 
51< 0.1%
 
ValueCountFrequency (%) 
51< 0.1%
 
38< 0.1%
 
21980.1%
 
125331.3%
 
018891298.6%
 

ARBEIT
Real number (ℝ≥0)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.870979692
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2020-12-02T12:23:19.302101image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile4
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8723420855
Coefficient of variation (CV)0.3038482257
Kurtosis0.326714969
Mean2.870979692
Median Absolute Deviation (MAD)0
Skewness-0.3962586168
Sum550229
Variance0.7609807142
MonotocityNot monotonic
2020-12-02T12:23:19.385273image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
310138152.9%
 
43759519.6%
 
23333417.4%
 
1169418.8%
 
523781.2%
 
923< 0.1%
 
ValueCountFrequency (%) 
1169418.8%
 
23333417.4%
 
310138152.9%
 
43759519.6%
 
523781.2%
 
923< 0.1%
 
ValueCountFrequency (%) 
923< 0.1%
 
523781.2%
 
43759519.6%
 
310138152.9%
 
23333417.4%
 
1169418.8%
 

BALLRAUM
Real number (ℝ≥0)

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.744448271
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2020-12-02T12:23:19.478815image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median6
Q36
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.965139682
Coefficient of variation (CV)0.4141977254
Kurtosis-0.8583703745
Mean4.744448271
Median Absolute Deviation (MAD)0
Skewness-0.8245248412
Sum909283
Variance3.861773969
MonotocityNot monotonic
2020-12-02T12:23:19.559335image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%) 
69803451.2%
 
12109711.0%
 
22011710.5%
 
7178739.3%
 
3132406.9%
 
4115386.0%
 
597535.1%
 
ValueCountFrequency (%) 
12109711.0%
 
22011710.5%
 
3132406.9%
 
4115386.0%
 
597535.1%
 
69803451.2%
 
7178739.3%
 
ValueCountFrequency (%) 
7178739.3%
 
69803451.2%
 
597535.1%
 
4115386.0%
 
3132406.9%
 
22011710.5%
 
12109711.0%
 

CAMEO_DEUG_2015
Real number (ℝ≥0)

Distinct9
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.729353203
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2020-12-02T12:23:19.646587image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q36
95-th percentile8
Maximum9
Range8
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.286132977
Coefficient of variation (CV)0.6130105819
Kurtosis-0.5915514692
Mean3.729353203
Median Absolute Deviation (MAD)1
Skewness0.8009097106
Sum714738
Variance5.226403988
MonotocityNot monotonic
2020-12-02T12:23:19.732362image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%) 
27403838.6%
 
42206411.5%
 
6187179.8%
 
3183909.6%
 
1167788.8%
 
8130496.8%
 
5116666.1%
 
7105585.5%
 
963923.3%
 
ValueCountFrequency (%) 
1167788.8%
 
27403838.6%
 
3183909.6%
 
42206411.5%
 
5116666.1%
 
6187179.8%
 
7105585.5%
 
8130496.8%
 
963923.3%
 
ValueCountFrequency (%) 
963923.3%
 
8130496.8%
 
7105585.5%
 
6187179.8%
 
5116666.1%
 
42206411.5%
 
3183909.6%
 
27403838.6%
 
1167788.8%
 

CAMEO_INTL_2015
Real number (ℝ≥0)

Distinct21
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25.30523031
Minimum12
Maximum55
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2020-12-02T12:23:19.840560image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum12
5-th percentile13
Q114
median22
Q335
95-th percentile51
Maximum55
Range43
Interquartile range (IQR)21

Descriptive statistics

Standard deviation13.50405922
Coefficient of variation (CV)0.5336469595
Kurtosis-0.7131954749
Mean25.30523031
Median Absolute Deviation (MAD)8
Skewness0.8391734562
Sum4849798
Variance182.3596153
MonotocityNot monotonic
2020-12-02T12:23:19.936549image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%) 
147020136.6%
 
24178059.3%
 
41113205.9%
 
4396345.0%
 
2593724.9%
 
1592174.8%
 
5181134.2%
 
1376834.0%
 
2275073.9%
 
2357703.0%
 
3453682.8%
 
4552882.8%
 
5447952.5%
 
1237151.9%
 
5537141.9%
 
4428321.5%
 
3127311.4%
 
3522941.2%
 
3216960.9%
 
3315740.8%
 
5210230.5%
 
ValueCountFrequency (%) 
1237151.9%
 
1376834.0%
 
147020136.6%
 
1592174.8%
 
2275073.9%
 
2357703.0%
 
24178059.3%
 
2593724.9%
 
3127311.4%
 
3216960.9%
 
ValueCountFrequency (%) 
5537141.9%
 
5447952.5%
 
5210230.5%
 
5181134.2%
 
4552882.8%
 
4428321.5%
 
4396345.0%
 
41113205.9%
 
3522941.2%
 
3453682.8%
 

CJT_GESAMTTYP
Real number (ℝ≥0)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.716856594
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2020-12-02T12:23:20.024489image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q36
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)4

Descriptive statistics

Standard deviation1.823244555
Coefficient of variation (CV)0.4905340061
Kurtosis-1.467287843
Mean3.716856594
Median Absolute Deviation (MAD)2
Skewness-0.01426778653
Sum712343
Variance3.324220709
MonotocityNot monotonic
2020-12-02T12:23:20.111241image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
65512028.8%
 
24284122.4%
 
42691214.0%
 
32434312.7%
 
12422912.6%
 
5182079.5%
 
ValueCountFrequency (%) 
12422912.6%
 
24284122.4%
 
32434312.7%
 
42691214.0%
 
5182079.5%
 
65512028.8%
 
ValueCountFrequency (%) 
65512028.8%
 
5182079.5%
 
42691214.0%
 
32434312.7%
 
24284122.4%
 
12422912.6%
 

CJT_KATALOGNUTZER
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.026537683
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2020-12-02T12:23:20.193983image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median5
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.373228325
Coefficient of variation (CV)0.3410444489
Kurtosis-0.02009693865
Mean4.026537683
Median Absolute Deviation (MAD)0
Skewness-1.172889332
Sum771694
Variance1.885756032
MonotocityNot monotonic
2020-12-02T12:23:20.291487image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
511075757.8%
 
42727114.2%
 
32208711.5%
 
12051010.7%
 
2110275.8%
 
ValueCountFrequency (%) 
12051010.7%
 
2110275.8%
 
32208711.5%
 
42727114.2%
 
511075757.8%
 
ValueCountFrequency (%) 
511075757.8%
 
42727114.2%
 
32208711.5%
 
2110275.8%
 
12051010.7%
 

CJT_TYP_1
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.637520088
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2020-12-02T12:23:20.383829image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.547545671
Coefficient of variation (CV)0.5867427048
Kurtosis-1.267887074
Mean2.637520088
Median Absolute Deviation (MAD)1
Skewness0.5074191139
Sum505486
Variance2.394897603
MonotocityNot monotonic
2020-12-02T12:23:20.480803image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
15912930.9%
 
25336227.8%
 
54606924.0%
 
32308012.0%
 
4100125.2%
 
ValueCountFrequency (%) 
15912930.9%
 
25336227.8%
 
32308012.0%
 
4100125.2%
 
54606924.0%
 
ValueCountFrequency (%) 
54606924.0%
 
4100125.2%
 
32308012.0%
 
25336227.8%
 
15912930.9%
 

CJT_TYP_2
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.52253042
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2020-12-02T12:23:20.575751image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.556899408
Coefficient of variation (CV)0.617197476
Kurtosis-1.157572971
Mean2.52253042
Median Absolute Deviation (MAD)1
Skewness0.6262966359
Sum483448
Variance2.423935767
MonotocityNot monotonic
2020-12-02T12:23:20.665348image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
16792935.4%
 
25179427.0%
 
54429423.1%
 
32007910.5%
 
475563.9%
 
ValueCountFrequency (%) 
16792935.4%
 
25179427.0%
 
32007910.5%
 
475563.9%
 
54429423.1%
 
ValueCountFrequency (%) 
54429423.1%
 
475563.9%
 
32007910.5%
 
25179427.0%
 
16792935.4%
 

CJT_TYP_3
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.524476656
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2020-12-02T12:23:20.761019image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q14
median5
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8695786885
Coefficient of variation (CV)0.1921943143
Kurtosis3.090098204
Mean4.524476656
Median Absolute Deviation (MAD)0
Skewness-1.920774724
Sum867125
Variance0.7561670954
MonotocityNot monotonic
2020-12-02T12:23:20.847908image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
513633771.1%
 
43049415.9%
 
3155648.1%
 
275153.9%
 
117420.9%
 
ValueCountFrequency (%) 
117420.9%
 
275153.9%
 
3155648.1%
 
43049415.9%
 
513633771.1%
 
ValueCountFrequency (%) 
513633771.1%
 
43049415.9%
 
3155648.1%
 
275153.9%
 
117420.9%
 

CJT_TYP_4
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.425119487
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2020-12-02T12:23:20.949029image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median5
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.01941843
Coefficient of variation (CV)0.2303708256
Kurtosis2.592913643
Mean4.425119487
Median Absolute Deviation (MAD)0
Skewness-1.859168343
Sum848083
Variance1.039213935
MonotocityNot monotonic
2020-12-02T12:23:21.033363image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
513109168.4%
 
43233916.9%
 
3119826.3%
 
2110865.8%
 
151542.7%
 
ValueCountFrequency (%) 
151542.7%
 
2110865.8%
 
3119826.3%
 
43233916.9%
 
513109168.4%
 
ValueCountFrequency (%) 
513109168.4%
 
43233916.9%
 
3119826.3%
 
2110865.8%
 
151542.7%
 

CJT_TYP_5
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.528003882
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2020-12-02T12:23:21.134700image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q14
median5
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8899705278
Coefficient of variation (CV)0.1965480929
Kurtosis3.288266887
Mean4.528003882
Median Absolute Deviation (MAD)0
Skewness-1.964556208
Sum867801
Variance0.7920475404
MonotocityNot monotonic
2020-12-02T12:23:21.225944image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
513952272.8%
 
42485513.0%
 
3188559.8%
 
257863.0%
 
126341.4%
 
ValueCountFrequency (%) 
126341.4%
 
257863.0%
 
3188559.8%
 
42485513.0%
 
513952272.8%
 
ValueCountFrequency (%) 
513952272.8%
 
42485513.0%
 
3188559.8%
 
257863.0%
 
126341.4%
 

CJT_TYP_6
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.546568781
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2020-12-02T12:23:21.322044image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median5
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8806248467
Coefficient of variation (CV)0.1936899867
Kurtosis3.502933747
Mean4.546568781
Median Absolute Deviation (MAD)0
Skewness-2.04922265
Sum871359
Variance0.7755001207
MonotocityNot monotonic
2020-12-02T12:23:21.417776image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
514085673.5%
 
42728214.2%
 
3127916.7%
 
288554.6%
 
118681.0%
 
ValueCountFrequency (%) 
118681.0%
 
288554.6%
 
3127916.7%
 
42728214.2%
 
514085673.5%
 
ValueCountFrequency (%) 
514085673.5%
 
42728214.2%
 
3127916.7%
 
288554.6%
 
118681.0%
 

D19_BANKEN_ANZ_12
Real number (ℝ≥0)

ZEROS

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.09104001002
Minimum0
Maximum6
Zeros180150
Zeros (%)94.0%
Memory size1.5 MiB
2020-12-02T12:23:21.514096image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum6
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4166841409
Coefficient of variation (CV)4.57693426
Kurtosis45.05976397
Mean0.09104001002
Median Absolute Deviation (MAD)0
Skewness6.025510973
Sum17448
Variance0.1736256733
MonotocityNot monotonic
2020-12-02T12:23:21.593366image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%) 
018015094.0%
 
174503.9%
 
228361.5%
 
37010.4%
 
43790.2%
 
51090.1%
 
627< 0.1%
 
ValueCountFrequency (%) 
018015094.0%
 
174503.9%
 
228361.5%
 
37010.4%
 
43790.2%
 
51090.1%
 
627< 0.1%
 
ValueCountFrequency (%) 
627< 0.1%
 
51090.1%
 
43790.2%
 
37010.4%
 
228361.5%
 
174503.9%
 
018015094.0%
 

D19_BANKEN_ANZ_24
Real number (ℝ≥0)

ZEROS

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1595235114
Minimum0
Maximum6
Zeros173701
Zeros (%)90.6%
Memory size1.5 MiB
2020-12-02T12:23:21.683415image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum6
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5898238705
Coefficient of variation (CV)3.697410278
Kurtosis28.41577649
Mean0.1595235114
Median Absolute Deviation (MAD)0
Skewness4.868116602
Sum30573
Variance0.3478921983
MonotocityNot monotonic
2020-12-02T12:23:21.765700image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%) 
017370190.6%
 
1102485.3%
 
249192.6%
 
313200.7%
 
49350.5%
 
53870.2%
 
61420.1%
 
ValueCountFrequency (%) 
017370190.6%
 
1102485.3%
 
249192.6%
 
313200.7%
 
49350.5%
 
53870.2%
 
61420.1%
 
ValueCountFrequency (%) 
61420.1%
 
53870.2%
 
49350.5%
 
313200.7%
 
249192.6%
 
1102485.3%
 
017370190.6%
 

D19_BANKEN_DATUM
Real number (ℝ≥0)

Distinct10
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.367598564
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2020-12-02T12:23:21.858378image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5
Q110
median10
Q310
95-th percentile10
Maximum10
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.64326232
Coefficient of variation (CV)0.1754198057
Kurtosis10.03183108
Mean9.367598564
Median Absolute Deviation (MAD)0
Skewness-3.146670024
Sum1795319
Variance2.700311053
MonotocityNot monotonic
2020-12-02T12:23:21.943330image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1015276279.7%
 
9148197.7%
 
564583.4%
 
861203.2%
 
632571.7%
 
731921.7%
 
119881.0%
 
411720.6%
 
211360.6%
 
37480.4%
 
ValueCountFrequency (%) 
119881.0%
 
211360.6%
 
37480.4%
 
411720.6%
 
564583.4%
 
632571.7%
 
731921.7%
 
861203.2%
 
9148197.7%
 
1015276279.7%
 
ValueCountFrequency (%) 
1015276279.7%
 
9148197.7%
 
861203.2%
 
731921.7%
 
632571.7%
 
564583.4%
 
411720.6%
 
37480.4%
 
211360.6%
 
119881.0%
 

D19_BANKEN_DIREKT
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6461659675
Minimum0
Maximum7
Zeros166726
Zeros (%)87.0%
Memory size1.5 MiB
2020-12-02T12:23:22.034653image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.771524943
Coefficient of variation (CV)2.741594315
Kurtosis4.988131207
Mean0.6461659675
Median Absolute Deviation (MAD)0
Skewness2.570975647
Sum123839
Variance3.138300623
MonotocityNot monotonic
2020-12-02T12:23:22.119794image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
016672687.0%
 
6118026.2%
 
348842.5%
 
526841.4%
 
725161.3%
 
211440.6%
 
410530.5%
 
18430.4%
 
ValueCountFrequency (%) 
016672687.0%
 
18430.4%
 
211440.6%
 
348842.5%
 
410530.5%
 
526841.4%
 
6118026.2%
 
725161.3%
 
ValueCountFrequency (%) 
725161.3%
 
6118026.2%
 
526841.4%
 
410530.5%
 
348842.5%
 
211440.6%
 
18430.4%
 
016672687.0%
 

D19_BANKEN_GROSS
Real number (ℝ≥0)

ZEROS

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4244776992
Minimum0
Maximum6
Zeros175064
Zeros (%)91.3%
Memory size1.5 MiB
2020-12-02T12:23:22.213672image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile5
Maximum6
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.443738888
Coefficient of variation (CV)3.401212575
Kurtosis9.211679916
Mean0.4244776992
Median Absolute Deviation (MAD)0
Skewness3.287695646
Sum81352
Variance2.084381977
MonotocityNot monotonic
2020-12-02T12:23:22.294317image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%) 
017506491.3%
 
690974.7%
 
330401.6%
 
524881.3%
 
48750.5%
 
26220.3%
 
14660.2%
 
ValueCountFrequency (%) 
017506491.3%
 
14660.2%
 
26220.3%
 
330401.6%
 
48750.5%
 
524881.3%
 
690974.7%
 
ValueCountFrequency (%) 
690974.7%
 
524881.3%
 
48750.5%
 
330401.6%
 
26220.3%
 
14660.2%
 
017506491.3%
 

D19_BANKEN_LOKAL
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1329701751
Minimum0
Maximum7
Zeros187347
Zeros (%)97.8%
Memory size1.5 MiB
2020-12-02T12:23:22.384224image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.9079254017
Coefficient of variation (CV)6.828037948
Kurtosis47.40494858
Mean0.1329701751
Median Absolute Deviation (MAD)0
Skewness6.951105176
Sum25484
Variance0.824328535
MonotocityNot monotonic
2020-12-02T12:23:22.476644image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
018734797.8%
 
724551.3%
 
38330.4%
 
67880.4%
 
52030.1%
 
222< 0.1%
 
43< 0.1%
 
11< 0.1%
 
ValueCountFrequency (%) 
018734797.8%
 
11< 0.1%
 
222< 0.1%
 
38330.4%
 
43< 0.1%
 
52030.1%
 
67880.4%
 
724551.3%
 
ValueCountFrequency (%) 
724551.3%
 
67880.4%
 
52030.1%
 
43< 0.1%
 
38330.4%
 
222< 0.1%
 
11< 0.1%
 
018734797.8%
 

D19_BANKEN_OFFLINE_DATUM
Real number (ℝ≥0)

Distinct10
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.866471521
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2020-12-02T12:23:22.569987image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile10
Q110
median10
Q310
95-th percentile10
Maximum10
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7722532224
Coefficient of variation (CV)0.07827045573
Kurtosis48.23036322
Mean9.866471521
Median Absolute Deviation (MAD)0
Skewness-6.693493873
Sum1890929
Variance0.5963750395
MonotocityNot monotonic
2020-12-02T12:23:22.659373image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1018420296.1%
 
529591.5%
 
823281.2%
 
914140.7%
 
22770.1%
 
62440.1%
 
187< 0.1%
 
472< 0.1%
 
741< 0.1%
 
328< 0.1%
 
ValueCountFrequency (%) 
187< 0.1%
 
22770.1%
 
328< 0.1%
 
472< 0.1%
 
529591.5%
 
62440.1%
 
741< 0.1%
 
823281.2%
 
914140.7%
 
1018420296.1%
 
ValueCountFrequency (%) 
1018420296.1%
 
914140.7%
 
823281.2%
 
741< 0.1%
 
62440.1%
 
529591.5%
 
472< 0.1%
 
328< 0.1%
 
22770.1%
 
187< 0.1%
 

D19_BANKEN_ONLINE_DATUM
Real number (ℝ≥0)

Distinct10
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.600645962
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2020-12-02T12:23:22.753459image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7
Q110
median10
Q310
95-th percentile10
Maximum10
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.379280426
Coefficient of variation (CV)0.1436653774
Kurtosis19.49307895
Mean9.600645962
Median Absolute Deviation (MAD)0
Skewness-4.295434337
Sum1839983
Variance1.902414493
MonotocityNot monotonic
2020-12-02T12:23:22.837624image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1016758587.4%
 
996225.0%
 
831371.6%
 
529121.5%
 
724731.3%
 
620411.1%
 
117380.9%
 
48640.5%
 
27120.4%
 
35680.3%
 
ValueCountFrequency (%) 
117380.9%
 
27120.4%
 
35680.3%
 
48640.5%
 
529121.5%
 
620411.1%
 
724731.3%
 
831371.6%
 
996225.0%
 
1016758587.4%
 
ValueCountFrequency (%) 
1016758587.4%
 
996225.0%
 
831371.6%
 
724731.3%
 
620411.1%
 
529121.5%
 
48640.5%
 
35680.3%
 
27120.4%
 
117380.9%
 

D19_BANKEN_ONLINE_QUOTE_12
Real number (ℝ≥0)

ZEROS

Distinct10
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3470352514
Minimum0
Maximum10
Zeros184858
Zeros (%)96.5%
Memory size1.5 MiB
2020-12-02T12:23:22.942294image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum10
Range10
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.820094482
Coefficient of variation (CV)5.24469625
Kurtosis23.89230419
Mean0.3470352514
Median Absolute Deviation (MAD)0
Skewness5.081108422
Sum66510
Variance3.312743922
MonotocityNot monotonic
2020-12-02T12:23:23.035018image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
018485896.5%
 
1064633.4%
 
51400.1%
 
782< 0.1%
 
344< 0.1%
 
838< 0.1%
 
914< 0.1%
 
28< 0.1%
 
64< 0.1%
 
41< 0.1%
 
ValueCountFrequency (%) 
018485896.5%
 
28< 0.1%
 
344< 0.1%
 
41< 0.1%
 
51400.1%
 
64< 0.1%
 
782< 0.1%
 
838< 0.1%
 
914< 0.1%
 
1064633.4%
 
ValueCountFrequency (%) 
1064633.4%
 
914< 0.1%
 
838< 0.1%
 
782< 0.1%
 
64< 0.1%
 
51400.1%
 
41< 0.1%
 
344< 0.1%
 
28< 0.1%
 
018485896.5%
 

D19_BANKEN_REST
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4444774905
Minimum0
Maximum7
Zeros176243
Zeros (%)92.0%
Memory size1.5 MiB
2020-12-02T12:23:23.123866image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.546226218
Coefficient of variation (CV)3.478750334
Kurtosis9.193731425
Mean0.4444774905
Median Absolute Deviation (MAD)0
Skewness3.304743405
Sum85185
Variance2.390815519
MonotocityNot monotonic
2020-12-02T12:23:23.205999image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
017624392.0%
 
696205.0%
 
718291.0%
 
516430.9%
 
315590.8%
 
24000.2%
 
42040.1%
 
11540.1%
 
ValueCountFrequency (%) 
017624392.0%
 
11540.1%
 
24000.2%
 
315590.8%
 
42040.1%
 
516430.9%
 
696205.0%
 
718291.0%
 
ValueCountFrequency (%) 
718291.0%
 
696205.0%
 
516430.9%
 
42040.1%
 
315590.8%
 
24000.2%
 
11540.1%
 
017624392.0%
 

D19_BEKLEIDUNG_GEH
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.9787270678
Minimum0
Maximum7
Zeros154242
Zeros (%)80.5%
Memory size1.5 MiB
2020-12-02T12:23:23.301584image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.097214522
Coefficient of variation (CV)2.142798121
Kurtosis1.64052231
Mean0.9787270678
Median Absolute Deviation (MAD)0
Skewness1.836276363
Sum187575
Variance4.39830875
MonotocityNot monotonic
2020-12-02T12:23:23.389604image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
015424280.5%
 
6181549.5%
 
378384.1%
 
555152.9%
 
729481.5%
 
213490.7%
 
48740.5%
 
17320.4%
 
ValueCountFrequency (%) 
015424280.5%
 
17320.4%
 
213490.7%
 
378384.1%
 
48740.5%
 
555152.9%
 
6181549.5%
 
729481.5%
 
ValueCountFrequency (%) 
729481.5%
 
6181549.5%
 
555152.9%
 
48740.5%
 
378384.1%
 
213490.7%
 
17320.4%
 
015424280.5%
 

D19_BEKLEIDUNG_REST
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.527779517
Minimum0
Maximum7
Zeros137848
Zeros (%)71.9%
Memory size1.5 MiB
2020-12-02T12:23:23.483296image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q33
95-th percentile6
Maximum7
Range7
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.562741055
Coefficient of variation (CV)1.677428599
Kurtosis-0.4473246664
Mean1.527779517
Median Absolute Deviation (MAD)0
Skewness1.186852035
Sum292802
Variance6.567641713
MonotocityNot monotonic
2020-12-02T12:23:23.566872image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
013784871.9%
 
63157116.5%
 
778804.1%
 
367493.5%
 
540742.1%
 
215550.8%
 
111370.6%
 
48380.4%
 
ValueCountFrequency (%) 
013784871.9%
 
111370.6%
 
215550.8%
 
367493.5%
 
48380.4%
 
540742.1%
 
63157116.5%
 
778804.1%
 
ValueCountFrequency (%) 
778804.1%
 
63157116.5%
 
540742.1%
 
48380.4%
 
367493.5%
 
215550.8%
 
111370.6%
 
013784871.9%
 

D19_BILDUNG
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.9985651076
Minimum0
Maximum7
Zeros155747
Zeros (%)81.3%
Memory size1.5 MiB
2020-12-02T12:23:23.661190image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.215235176
Coefficient of variation (CV)2.218418367
Kurtosis1.900404957
Mean0.9985651076
Median Absolute Deviation (MAD)0
Skewness1.920619252
Sum191377
Variance4.907266883
MonotocityNot monotonic
2020-12-02T12:23:23.744518image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
015574781.3%
 
6172219.0%
 
786614.5%
 
253932.8%
 
323011.2%
 
514000.7%
 
46020.3%
 
13270.2%
 
ValueCountFrequency (%) 
015574781.3%
 
13270.2%
 
253932.8%
 
323011.2%
 
46020.3%
 
514000.7%
 
6172219.0%
 
786614.5%
 
ValueCountFrequency (%) 
786614.5%
 
6172219.0%
 
514000.7%
 
46020.3%
 
323011.2%
 
253932.8%
 
13270.2%
 
015574781.3%
 

D19_BIO_OEKO
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5384916411
Minimum0
Maximum7
Zeros174542
Zeros (%)91.1%
Memory size1.5 MiB
2020-12-02T12:23:23.840850image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.74644807
Coefficient of variation (CV)3.243222247
Kurtosis7.213871093
Mean0.5384916411
Median Absolute Deviation (MAD)0
Skewness3.005302448
Sum103203
Variance3.050080861
MonotocityNot monotonic
2020-12-02T12:23:23.923101image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
017454291.1%
 
694234.9%
 
753512.8%
 
311800.6%
 
511030.6%
 
425< 0.1%
 
225< 0.1%
 
13< 0.1%
 
ValueCountFrequency (%) 
017454291.1%
 
13< 0.1%
 
225< 0.1%
 
311800.6%
 
425< 0.1%
 
511030.6%
 
694234.9%
 
753512.8%
 
ValueCountFrequency (%) 
753512.8%
 
694234.9%
 
511030.6%
 
425< 0.1%
 
311800.6%
 
225< 0.1%
 
13< 0.1%
 
017454291.1%
 

D19_BUCH_CD
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.443987018
Minimum0
Maximum7
Zeros102937
Zeros (%)53.7%
Memory size1.5 MiB
2020-12-02T12:23:24.012788image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q36
95-th percentile6
Maximum7
Range7
Interquartile range (IQR)6

Descriptive statistics

Standard deviation2.822639395
Coefficient of variation (CV)1.154932238
Kurtosis-1.738895896
Mean2.443987018
Median Absolute Deviation (MAD)0
Skewness0.3960911885
Sum468395
Variance7.967293156
MonotocityNot monotonic
2020-12-02T12:23:24.092968image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
010293753.7%
 
66321633.0%
 
380644.2%
 
547632.5%
 
143262.3%
 
730741.6%
 
229201.5%
 
423521.2%
 
ValueCountFrequency (%) 
010293753.7%
 
143262.3%
 
229201.5%
 
380644.2%
 
423521.2%
 
547632.5%
 
66321633.0%
 
730741.6%
 
ValueCountFrequency (%) 
730741.6%
 
66321633.0%
 
547632.5%
 
423521.2%
 
380644.2%
 
229201.5%
 
143262.3%
 
010293753.7%
 

D19_DIGIT_SERV
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2182653977
Minimum0
Maximum7
Zeros183539
Zeros (%)95.8%
Memory size1.5 MiB
2020-12-02T12:23:24.180739image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.084784513
Coefficient of variation (CV)4.970025137
Kurtosis24.14842848
Mean0.2182653977
Median Absolute Deviation (MAD)0
Skewness5.029803628
Sum41831
Variance1.17675744
MonotocityNot monotonic
2020-12-02T12:23:24.262506image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
018353995.8%
 
642332.2%
 
315820.8%
 
79220.5%
 
57650.4%
 
24340.2%
 
41210.1%
 
156< 0.1%
 
ValueCountFrequency (%) 
018353995.8%
 
156< 0.1%
 
24340.2%
 
315820.8%
 
41210.1%
 
57650.4%
 
642332.2%
 
79220.5%
 
ValueCountFrequency (%) 
79220.5%
 
642332.2%
 
57650.4%
 
41210.1%
 
315820.8%
 
24340.2%
 
156< 0.1%
 
018353995.8%
 

D19_DROGERIEARTIKEL
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.757998873
Minimum0
Maximum7
Zeros160837
Zeros (%)83.9%
Memory size1.5 MiB
2020-12-02T12:23:24.354503image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.85788388
Coefficient of variation (CV)2.451037787
Kurtosis3.551151404
Mean0.757998873
Median Absolute Deviation (MAD)0
Skewness2.266085638
Sum145272
Variance3.451732512
MonotocityNot monotonic
2020-12-02T12:23:24.447649image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
016083783.9%
 
6119276.2%
 
363133.3%
 
544312.3%
 
726781.4%
 
421301.1%
 
220141.1%
 
113220.7%
 
ValueCountFrequency (%) 
016083783.9%
 
113220.7%
 
220141.1%
 
363133.3%
 
421301.1%
 
544312.3%
 
6119276.2%
 
726781.4%
 
ValueCountFrequency (%) 
726781.4%
 
6119276.2%
 
544312.3%
 
421301.1%
 
363133.3%
 
220141.1%
 
113220.7%
 
016083783.9%
 

D19_ENERGIE
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4742658569
Minimum0
Maximum7
Zeros172916
Zeros (%)90.2%
Memory size1.5 MiB
2020-12-02T12:23:24.543256image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile5
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.52271566
Coefficient of variation (CV)3.210679492
Kurtosis8.562474788
Mean0.4742658569
Median Absolute Deviation (MAD)0
Skewness3.152478177
Sum90894
Variance2.318662982
MonotocityNot monotonic
2020-12-02T12:23:24.645450image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
017291690.2%
 
668593.6%
 
353642.8%
 
531251.6%
 
721661.1%
 
26970.4%
 
43140.2%
 
12110.1%
 
ValueCountFrequency (%) 
017291690.2%
 
12110.1%
 
26970.4%
 
353642.8%
 
43140.2%
 
531251.6%
 
668593.6%
 
721661.1%
 
ValueCountFrequency (%) 
721661.1%
 
668593.6%
 
531251.6%
 
43140.2%
 
353642.8%
 
26970.4%
 
12110.1%
 
017291690.2%
 

D19_FREIZEIT
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6884144178
Minimum0
Maximum7
Zeros166363
Zeros (%)86.8%
Memory size1.5 MiB
2020-12-02T12:23:24.734959image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.838986968
Coefficient of variation (CV)2.67133709
Kurtosis4.252870867
Mean0.6884144178
Median Absolute Deviation (MAD)0
Skewness2.441847599
Sum131936
Variance3.381873068
MonotocityNot monotonic
2020-12-02T12:23:24.826516image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
016636386.8%
 
6132756.9%
 
343612.3%
 
534151.8%
 
724481.3%
 
48490.4%
 
26550.3%
 
12860.1%
 
ValueCountFrequency (%) 
016636386.8%
 
12860.1%
 
26550.3%
 
343612.3%
 
48490.4%
 
534151.8%
 
6132756.9%
 
724481.3%
 
ValueCountFrequency (%) 
724481.3%
 
6132756.9%
 
534151.8%
 
48490.4%
 
343612.3%
 
26550.3%
 
12860.1%
 
016636386.8%
 

D19_GARTEN
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3445254941
Minimum0
Maximum7
Zeros179969
Zeros (%)93.9%
Memory size1.5 MiB
2020-12-02T12:23:26.638249image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile5
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.383708292
Coefficient of variation (CV)4.016272572
Kurtosis13.52401246
Mean0.3445254941
Median Absolute Deviation (MAD)0
Skewness3.891901155
Sum66029
Variance1.914648638
MonotocityNot monotonic
2020-12-02T12:23:26.730460image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
017996993.9%
 
663303.3%
 
721761.1%
 
516550.9%
 
313190.7%
 
4990.1%
 
285< 0.1%
 
119< 0.1%
 
ValueCountFrequency (%) 
017996993.9%
 
119< 0.1%
 
285< 0.1%
 
313190.7%
 
4990.1%
 
516550.9%
 
663303.3%
 
721761.1%
 
ValueCountFrequency (%) 
721761.1%
 
663303.3%
 
516550.9%
 
4990.1%
 
313190.7%
 
285< 0.1%
 
119< 0.1%
 
017996993.9%
 

D19_GESAMT_ANZ_12
Real number (ℝ≥0)

ZEROS

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.9376787093
Minimum0
Maximum6
Zeros111999
Zeros (%)58.4%
Memory size1.5 MiB
2020-12-02T12:23:26.821543image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile4
Maximum6
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.376459195
Coefficient of variation (CV)1.467943317
Kurtosis1.195739304
Mean0.9376787093
Median Absolute Deviation (MAD)0
Skewness1.441028864
Sum179708
Variance1.894639916
MonotocityNot monotonic
2020-12-02T12:23:26.915301image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%) 
011199958.4%
 
12777714.5%
 
22506913.1%
 
3110485.8%
 
4108825.7%
 
541412.2%
 
67360.4%
 
ValueCountFrequency (%) 
011199958.4%
 
12777714.5%
 
22506913.1%
 
3110485.8%
 
4108825.7%
 
541412.2%
 
67360.4%
 
ValueCountFrequency (%) 
67360.4%
 
541412.2%
 
4108825.7%
 
3110485.8%
 
22506913.1%
 
12777714.5%
 
011199958.4%
 

D19_GESAMT_ANZ_24
Real number (ℝ≥0)

ZEROS

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.438581387
Minimum0
Maximum6
Zeros91722
Zeros (%)47.9%
Memory size1.5 MiB
2020-12-02T12:23:27.001889image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile5
Maximum6
Range6
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.742773839
Coefficient of variation (CV)1.211453071
Kurtosis-0.2757674674
Mean1.438581387
Median Absolute Deviation (MAD)1
Skewness0.9619164175
Sum275707
Variance3.037260654
MonotocityNot monotonic
2020-12-02T12:23:27.077502image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%) 
09172247.9%
 
22773614.5%
 
12426012.7%
 
4177719.3%
 
3150457.9%
 
5109525.7%
 
641662.2%
 
ValueCountFrequency (%) 
09172247.9%
 
12426012.7%
 
22773614.5%
 
3150457.9%
 
4177719.3%
 
5109525.7%
 
641662.2%
 
ValueCountFrequency (%) 
641662.2%
 
5109525.7%
 
4177719.3%
 
3150457.9%
 
22773614.5%
 
12426012.7%
 
09172247.9%
 

D19_GESAMT_DATUM
Real number (ℝ≥0)

Distinct10
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.52949617
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2020-12-02T12:23:27.168825image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14
median7
Q310
95-th percentile10
Maximum10
Range9
Interquartile range (IQR)6

Descriptive statistics

Standard deviation3.246551658
Coefficient of variation (CV)0.4972131958
Kurtosis-1.30427266
Mean6.52949617
Median Absolute Deviation (MAD)3
Skewness-0.3805784073
Sum1251391
Variance10.54009767
MonotocityNot monotonic
2020-12-02T12:23:27.251834image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
106053631.6%
 
52547713.3%
 
11962610.2%
 
91907110.0%
 
2149817.8%
 
8121156.3%
 
6113135.9%
 
4111665.8%
 
789644.7%
 
384034.4%
 
ValueCountFrequency (%) 
11962610.2%
 
2149817.8%
 
384034.4%
 
4111665.8%
 
52547713.3%
 
6113135.9%
 
789644.7%
 
8121156.3%
 
91907110.0%
 
106053631.6%
 
ValueCountFrequency (%) 
106053631.6%
 
91907110.0%
 
8121156.3%
 
789644.7%
 
6113135.9%
 
52547713.3%
 
4111665.8%
 
384034.4%
 
2149817.8%
 
11962610.2%
 

D19_GESAMT_OFFLINE_DATUM
Real number (ℝ≥0)

Distinct10
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.412435039
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2020-12-02T12:23:27.339546image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4
Q18
median9
Q310
95-th percentile10
Maximum10
Range9
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.18512237
Coefficient of variation (CV)0.2597490928
Kurtosis1.701849686
Mean8.412435039
Median Absolute Deviation (MAD)1
Skewness-1.550164165
Sum1612260
Variance4.774759771
MonotocityNot monotonic
2020-12-02T12:23:27.422014image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
108929646.6%
 
93697719.3%
 
82097310.9%
 
5150327.8%
 
793134.9%
 
679424.1%
 
236731.9%
 
434041.8%
 
126841.4%
 
323581.2%
 
ValueCountFrequency (%) 
126841.4%
 
236731.9%
 
323581.2%
 
434041.8%
 
5150327.8%
 
679424.1%
 
793134.9%
 
82097310.9%
 
93697719.3%
 
108929646.6%
 
ValueCountFrequency (%) 
108929646.6%
 
93697719.3%
 
82097310.9%
 
793134.9%
 
679424.1%
 
5150327.8%
 
434041.8%
 
323581.2%
 
236731.9%
 
126841.4%
 

D19_GESAMT_ONLINE_DATUM
Real number (ℝ≥0)

Distinct10
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.445714107
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2020-12-02T12:23:27.511242image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q15
median9
Q310
95-th percentile10
Maximum10
Range9
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.117772196
Coefficient of variation (CV)0.4187338046
Kurtosis-0.7243027577
Mean7.445714107
Median Absolute Deviation (MAD)1
Skewness-0.8570109421
Sum1426986
Variance9.720503465
MonotocityNot monotonic
2020-12-02T12:23:27.591054image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
108984046.9%
 
5186529.7%
 
9182039.5%
 
1142077.4%
 
296275.0%
 
894354.9%
 
693134.9%
 
485394.5%
 
777544.0%
 
360823.2%
 
ValueCountFrequency (%) 
1142077.4%
 
296275.0%
 
360823.2%
 
485394.5%
 
5186529.7%
 
693134.9%
 
777544.0%
 
894354.9%
 
9182039.5%
 
108984046.9%
 
ValueCountFrequency (%) 
108984046.9%
 
9182039.5%
 
894354.9%
 
777544.0%
 
693134.9%
 
5186529.7%
 
485394.5%
 
360823.2%
 
296275.0%
 
1142077.4%
 

D19_GESAMT_ONLINE_QUOTE_12
Real number (ℝ≥0)

ZEROS

Distinct11
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.646129443
Minimum0
Maximum10
Zeros134576
Zeros (%)70.2%
Memory size1.5 MiB
2020-12-02T12:23:27.675256image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q37
95-th percentile10
Maximum10
Range10
Interquartile range (IQR)7

Descriptive statistics

Standard deviation4.236413375
Coefficient of variation (CV)1.600984935
Kurtosis-0.8015728615
Mean2.646129443
Median Absolute Deviation (MAD)0
Skewness1.053776241
Sum507136
Variance17.94719829
MonotocityNot monotonic
2020-12-02T12:23:27.769195image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%) 
013457670.2%
 
104219122.0%
 
540102.1%
 
826771.4%
 
723921.2%
 
317670.9%
 
915020.8%
 
27010.4%
 
66660.3%
 
16270.3%
 
45430.3%
 
ValueCountFrequency (%) 
013457670.2%
 
16270.3%
 
27010.4%
 
317670.9%
 
45430.3%
 
540102.1%
 
66660.3%
 
723921.2%
 
826771.4%
 
915020.8%
 
ValueCountFrequency (%) 
104219122.0%
 
915020.8%
 
826771.4%
 
723921.2%
 
66660.3%
 
540102.1%
 
45430.3%
 
317670.9%
 
27010.4%
 
16270.3%
 

D19_HANDWERK
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.535256611
Minimum0
Maximum7
Zeros143537
Zeros (%)74.9%
Memory size1.5 MiB
2020-12-02T12:23:27.872365image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q33
95-th percentile6
Maximum7
Range7
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.668879944
Coefficient of variation (CV)1.73839339
Kurtosis-0.5466882006
Mean1.535256611
Median Absolute Deviation (MAD)0
Skewness1.186063581
Sum294235
Variance7.122920157
MonotocityNot monotonic
2020-12-02T12:23:27.960119image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
014353774.9%
 
63712519.4%
 
791534.8%
 
59540.5%
 
38210.4%
 
431< 0.1%
 
226< 0.1%
 
15< 0.1%
 
ValueCountFrequency (%) 
014353774.9%
 
15< 0.1%
 
226< 0.1%
 
38210.4%
 
431< 0.1%
 
59540.5%
 
63712519.4%
 
791534.8%
 
ValueCountFrequency (%) 
791534.8%
 
63712519.4%
 
59540.5%
 
431< 0.1%
 
38210.4%
 
226< 0.1%
 
15< 0.1%
 
014353774.9%
 

D19_HAUS_DEKO
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.53703066
Minimum0
Maximum7
Zeros132811
Zeros (%)69.3%
Memory size1.5 MiB
2020-12-02T12:23:28.057907image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q33
95-th percentile6
Maximum7
Range7
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.459250091
Coefficient of variation (CV)1.600000674
Kurtosis-0.5493058082
Mean1.53703066
Median Absolute Deviation (MAD)0
Skewness1.121730654
Sum294575
Variance6.047911012
MonotocityNot monotonic
2020-12-02T12:23:28.143115image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
013281169.3%
 
63260017.0%
 
3112915.9%
 
568513.6%
 
727191.4%
 
227081.4%
 
114300.7%
 
412420.6%
 
ValueCountFrequency (%) 
013281169.3%
 
114300.7%
 
227081.4%
 
3112915.9%
 
412420.6%
 
568513.6%
 
63260017.0%
 
727191.4%
 
ValueCountFrequency (%) 
727191.4%
 
63260017.0%
 
568513.6%
 
412420.6%
 
3112915.9%
 
227081.4%
 
114300.7%
 
013281169.3%
 

D19_KINDERARTIKEL
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.083515956
Minimum0
Maximum7
Zeros153651
Zeros (%)80.2%
Memory size1.5 MiB
2020-12-02T12:23:28.233680image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.277333103
Coefficient of variation (CV)2.101799323
Kurtosis1.237898453
Mean1.083515956
Median Absolute Deviation (MAD)0
Skewness1.745927238
Sum207658
Variance5.18624606
MonotocityNot monotonic
2020-12-02T12:23:28.322136image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
015365180.2%
 
61966210.3%
 
775854.0%
 
347232.5%
 
531251.6%
 
217700.9%
 
47070.4%
 
14290.2%
 
ValueCountFrequency (%) 
015365180.2%
 
14290.2%
 
217700.9%
 
347232.5%
 
47070.4%
 
531251.6%
 
61966210.3%
 
775854.0%
 
ValueCountFrequency (%) 
775854.0%
 
61966210.3%
 
531251.6%
 
47070.4%
 
347232.5%
 
217700.9%
 
14290.2%
 
015365180.2%
 

D19_KONSUMTYP
Real number (ℝ≥0)

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.020772024
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2020-12-02T12:23:28.420359image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile9
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.912361984
Coefficient of variation (CV)0.6330706085
Kurtosis3.725451842
Mean3.020772024
Median Absolute Deviation (MAD)0
Skewness1.910769892
Sum578937
Variance3.657128356
MonotocityNot monotonic
2020-12-02T12:23:28.505808image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%) 
310002052.2%
 
13579418.7%
 
22960015.4%
 
9125166.5%
 
674243.9%
 
447952.5%
 
515030.8%
 
ValueCountFrequency (%) 
13579418.7%
 
22960015.4%
 
310002052.2%
 
447952.5%
 
515030.8%
 
674243.9%
 
9125166.5%
 
ValueCountFrequency (%) 
9125166.5%
 
674243.9%
 
515030.8%
 
447952.5%
 
310002052.2%
 
22960015.4%
 
13579418.7%
 

D19_KONSUMTYP_MAX
Real number (ℝ≥0)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.224469351
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2020-12-02T12:23:28.601932image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q38
95-th percentile9
Maximum9
Range8
Interquartile range (IQR)6

Descriptive statistics

Standard deviation3.198298122
Coefficient of variation (CV)0.7570887267
Kurtosis-1.400897755
Mean4.224469351
Median Absolute Deviation (MAD)1
Skewness0.6773018872
Sum809628
Variance10.22911088
MonotocityNot monotonic
2020-12-02T12:23:28.686142image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
29175847.9%
 
94769724.9%
 
12007510.5%
 
8139117.3%
 
4108435.7%
 
373683.8%
 
ValueCountFrequency (%) 
12007510.5%
 
29175847.9%
 
373683.8%
 
4108435.7%
 
8139117.3%
 
94769724.9%
 
ValueCountFrequency (%) 
94769724.9%
 
8139117.3%
 
4108435.7%
 
373683.8%
 
29175847.9%
 
12007510.5%
 

D19_KOSMETIK
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.756110033
Minimum0
Maximum7
Zeros139367
Zeros (%)72.7%
Memory size1.5 MiB
2020-12-02T12:23:28.781923image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q36
95-th percentile7
Maximum7
Range7
Interquartile range (IQR)6

Descriptive statistics

Standard deviation2.883393243
Coefficient of variation (CV)1.641920602
Kurtosis-0.8435883915
Mean1.756110033
Median Absolute Deviation (MAD)0
Skewness1.054458807
Sum336562
Variance8.313956594
MonotocityNot monotonic
2020-12-02T12:23:28.870838image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
013936772.7%
 
62749714.3%
 
72419312.6%
 
32680.1%
 
52340.1%
 
248< 0.1%
 
438< 0.1%
 
17< 0.1%
 
ValueCountFrequency (%) 
013936772.7%
 
17< 0.1%
 
248< 0.1%
 
32680.1%
 
438< 0.1%
 
52340.1%
 
62749714.3%
 
72419312.6%
 
ValueCountFrequency (%) 
72419312.6%
 
62749714.3%
 
52340.1%
 
438< 0.1%
 
32680.1%
 
248< 0.1%
 
17< 0.1%
 
013936772.7%
 

D19_LEBENSMITTEL
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.577635506
Minimum0
Maximum7
Zeros170971
Zeros (%)89.2%
Memory size1.5 MiB
2020-12-02T12:23:28.966290image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.723675155
Coefficient of variation (CV)2.984018706
Kurtosis6.156141266
Mean0.577635506
Median Absolute Deviation (MAD)0
Skewness2.798068542
Sum110705
Variance2.971056041
MonotocityNot monotonic
2020-12-02T12:23:29.056192image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
017097189.2%
 
6108085.6%
 
339312.1%
 
729781.6%
 
523611.2%
 
23570.2%
 
41510.1%
 
195< 0.1%
 
ValueCountFrequency (%) 
017097189.2%
 
195< 0.1%
 
23570.2%
 
339312.1%
 
41510.1%
 
523611.2%
 
6108085.6%
 
729781.6%
 
ValueCountFrequency (%) 
729781.6%
 
6108085.6%
 
523611.2%
 
41510.1%
 
339312.1%
 
23570.2%
 
195< 0.1%
 
017097189.2%
 

D19_LOTTO
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.978267902
Minimum0
Maximum7
Zeros135978
Zeros (%)71.0%
Memory size1.5 MiB
2020-12-02T12:23:29.155128image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q36
95-th percentile7
Maximum7
Range7
Interquartile range (IQR)6

Descriptive statistics

Standard deviation3.10483565
Coefficient of variation (CV)1.569471782
Kurtosis-1.087782549
Mean1.978267902
Median Absolute Deviation (MAD)0
Skewness0.9446472634
Sum379139
Variance9.640004413
MonotocityNot monotonic
2020-12-02T12:23:29.246513image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
013597871.0%
 
74708424.6%
 
676094.0%
 
54810.3%
 
34680.2%
 
217< 0.1%
 
413< 0.1%
 
12< 0.1%
 
ValueCountFrequency (%) 
013597871.0%
 
12< 0.1%
 
217< 0.1%
 
34680.2%
 
413< 0.1%
 
54810.3%
 
676094.0%
 
74708424.6%
 
ValueCountFrequency (%) 
74708424.6%
 
676094.0%
 
54810.3%
 
413< 0.1%
 
34680.2%
 
217< 0.1%
 
12< 0.1%
 
013597871.0%
 

D19_NAHRUNGSERGAENZUNG
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5059169745
Minimum0
Maximum7
Zeros174094
Zeros (%)90.8%
Memory size1.5 MiB
2020-12-02T12:23:29.342648image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.651735897
Coefficient of variation (CV)3.264835893
Kurtosis7.966241302
Mean0.5059169745
Median Absolute Deviation (MAD)0
Skewness3.102989701
Sum96960
Variance2.728231474
MonotocityNot monotonic
2020-12-02T12:23:29.434571image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
017409490.8%
 
682254.3%
 
740392.1%
 
325841.3%
 
520351.1%
 
22850.1%
 
12400.1%
 
41500.1%
 
ValueCountFrequency (%) 
017409490.8%
 
12400.1%
 
22850.1%
 
325841.3%
 
41500.1%
 
520351.1%
 
682254.3%
 
740392.1%
 
ValueCountFrequency (%) 
740392.1%
 
682254.3%
 
520351.1%
 
41500.1%
 
325841.3%
 
22850.1%
 
12400.1%
 
017409490.8%
 

D19_RATGEBER
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.799756851
Minimum0
Maximum7
Zeros161270
Zeros (%)84.1%
Memory size1.5 MiB
2020-12-02T12:23:29.529725image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.959001155
Coefficient of variation (CV)2.449495935
Kurtosis3.207414088
Mean0.799756851
Median Absolute Deviation (MAD)0
Skewness2.218221165
Sum153275
Variance3.837685526
MonotocityNot monotonic
2020-12-02T12:23:29.617690image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
016127084.1%
 
6158938.3%
 
338562.0%
 
236431.9%
 
733081.7%
 
524391.3%
 
48230.4%
 
14200.2%
 
ValueCountFrequency (%) 
016127084.1%
 
14200.2%
 
236431.9%
 
338562.0%
 
48230.4%
 
524391.3%
 
6158938.3%
 
733081.7%
 
ValueCountFrequency (%) 
733081.7%
 
6158938.3%
 
524391.3%
 
48230.4%
 
338562.0%
 
236431.9%
 
14200.2%
 
016127084.1%
 

D19_REISEN
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.775556738
Minimum0
Maximum7
Zeros134825
Zeros (%)70.3%
Memory size1.5 MiB
2020-12-02T12:23:29.712772image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q36
95-th percentile7
Maximum7
Range7
Interquartile range (IQR)6

Descriptive statistics

Standard deviation2.80323014
Coefficient of variation (CV)1.57878939
Kurtosis-0.9166628182
Mean1.775556738
Median Absolute Deviation (MAD)0
Skewness1.001647035
Sum340289
Variance7.858099217
MonotocityNot monotonic
2020-12-02T12:23:29.798230image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
013482570.3%
 
63424417.9%
 
7163978.6%
 
220781.1%
 
319821.0%
 
516530.9%
 
44020.2%
 
171< 0.1%
 
ValueCountFrequency (%) 
013482570.3%
 
171< 0.1%
 
220781.1%
 
319821.0%
 
44020.2%
 
516530.9%
 
63424417.9%
 
7163978.6%
 
ValueCountFrequency (%) 
7163978.6%
 
63424417.9%
 
516530.9%
 
44020.2%
 
319821.0%
 
220781.1%
 
171< 0.1%
 
013482570.3%
 

D19_SAMMELARTIKEL
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.432179158
Minimum0
Maximum7
Zeros145113
Zeros (%)75.7%
Memory size1.5 MiB
2020-12-02T12:23:29.890766image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.551136246
Coefficient of variation (CV)1.781296866
Kurtosis-0.4070965951
Mean1.432179158
Median Absolute Deviation (MAD)0
Skewness1.245248736
Sum274480
Variance6.508296146
MonotocityNot monotonic
2020-12-02T12:23:29.976970image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
014511375.7%
 
63960520.7%
 
729581.5%
 
520691.1%
 
316070.8%
 
41970.1%
 
287< 0.1%
 
116< 0.1%
 
ValueCountFrequency (%) 
014511375.7%
 
116< 0.1%
 
287< 0.1%
 
316070.8%
 
41970.1%
 
520691.1%
 
63960520.7%
 
729581.5%
 
ValueCountFrequency (%) 
729581.5%
 
63960520.7%
 
520691.1%
 
41970.1%
 
316070.8%
 
287< 0.1%
 
116< 0.1%
 
014511375.7%
 

D19_SCHUHE
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.598788429
Minimum0
Maximum7
Zeros163720
Zeros (%)85.4%
Memory size1.5 MiB
2020-12-02T12:23:30.068202image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile5
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.584453772
Coefficient of variation (CV)2.646099515
Kurtosis5.714806054
Mean0.598788429
Median Absolute Deviation (MAD)0
Skewness2.629301269
Sum114759
Variance2.510493755
MonotocityNot monotonic
2020-12-02T12:23:30.156616image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
016372085.4%
 
398565.1%
 
670423.7%
 
544852.3%
 
232551.7%
 
714250.7%
 
111490.6%
 
47200.4%
 
ValueCountFrequency (%) 
016372085.4%
 
111490.6%
 
232551.7%
 
398565.1%
 
47200.4%
 
544852.3%
 
670423.7%
 
714250.7%
 
ValueCountFrequency (%) 
714250.7%
 
670423.7%
 
544852.3%
 
47200.4%
 
398565.1%
 
232551.7%
 
111490.6%
 
016372085.4%
 

D19_SONSTIGE
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.26943627
Minimum0
Maximum7
Zeros76573
Zeros (%)40.0%
Memory size1.5 MiB
2020-12-02T12:23:30.252057image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q36
95-th percentile7
Maximum7
Range7
Interquartile range (IQR)6

Descriptive statistics

Standard deviation2.88042826
Coefficient of variation (CV)0.8810167938
Kurtosis-1.807866063
Mean3.26943627
Median Absolute Deviation (MAD)3
Skewness-0.09844980588
Sum626594
Variance8.296866961
MonotocityNot monotonic
2020-12-02T12:23:30.340000image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
07657340.0%
 
66781335.4%
 
7158358.3%
 
3140597.3%
 
595215.0%
 
235341.8%
 
425681.3%
 
117490.9%
 
ValueCountFrequency (%) 
07657340.0%
 
117490.9%
 
235341.8%
 
3140597.3%
 
425681.3%
 
595215.0%
 
66781335.4%
 
7158358.3%
 
ValueCountFrequency (%) 
7158358.3%
 
66781335.4%
 
595215.0%
 
425681.3%
 
3140597.3%
 
235341.8%
 
117490.9%
 
07657340.0%
 

D19_SOZIALES
Real number (ℝ≥0)

ZEROS

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.182967044
Minimum0
Maximum5
Zeros22750
Zeros (%)11.9%
Memory size1.5 MiB
2020-12-02T12:23:30.447091image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile4
Maximum5
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.009867977
Coefficient of variation (CV)0.8536738039
Kurtosis6.162924717
Mean1.182967044
Median Absolute Deviation (MAD)0
Skewness2.428834252
Sum226718
Variance1.01983333
MonotocityNot monotonic
2020-12-02T12:23:30.536456image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
114666176.5%
 
02275011.9%
 
564053.3%
 
458613.1%
 
253372.8%
 
346382.4%
 
ValueCountFrequency (%) 
02275011.9%
 
114666176.5%
 
253372.8%
 
346382.4%
 
458613.1%
 
564053.3%
 
ValueCountFrequency (%) 
564053.3%
 
458613.1%
 
346382.4%
 
253372.8%
 
114666176.5%
 
02275011.9%
 

D19_TECHNIK
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.324233507
Minimum0
Maximum7
Zeros117416
Zeros (%)61.3%
Memory size1.5 MiB
2020-12-02T12:23:30.623081image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q36
95-th percentile7
Maximum7
Range7
Interquartile range (IQR)6

Descriptive statistics

Standard deviation2.973774655
Coefficient of variation (CV)1.279464669
Kurtosis-1.633243217
Mean2.324233507
Median Absolute Deviation (MAD)0
Skewness0.5437674919
Sum445444
Variance8.843335698
MonotocityNot monotonic
2020-12-02T12:23:30.707189image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
011741661.3%
 
65006626.1%
 
7161278.4%
 
540342.1%
 
333621.8%
 
43380.2%
 
22420.1%
 
167< 0.1%
 
ValueCountFrequency (%) 
011741661.3%
 
167< 0.1%
 
22420.1%
 
333621.8%
 
43380.2%
 
540342.1%
 
65006626.1%
 
7161278.4%
 
ValueCountFrequency (%) 
7161278.4%
 
65006626.1%
 
540342.1%
 
43380.2%
 
333621.8%
 
22420.1%
 
167< 0.1%
 
011741661.3%
 

D19_TELKO_ANZ_12
Real number (ℝ≥0)

ZEROS

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.04522780874
Minimum0
Maximum6
Zeros184467
Zeros (%)96.3%
Memory size1.5 MiB
2020-12-02T12:23:30.796964image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum6
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2466779489
Coefficient of variation (CV)5.454121165
Kurtosis56.35872517
Mean0.04522780874
Median Absolute Deviation (MAD)0
Skewness6.60333153
Sum8668
Variance0.06085001046
MonotocityNot monotonic
2020-12-02T12:23:30.882751image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%) 
018446796.3%
 
158503.1%
 
212310.6%
 
373< 0.1%
 
423< 0.1%
 
65< 0.1%
 
53< 0.1%
 
ValueCountFrequency (%) 
018446796.3%
 
158503.1%
 
212310.6%
 
373< 0.1%
 
423< 0.1%
 
53< 0.1%
 
65< 0.1%
 
ValueCountFrequency (%) 
65< 0.1%
 
53< 0.1%
 
423< 0.1%
 
373< 0.1%
 
212310.6%
 
158503.1%
 
018446796.3%
 

D19_TELKO_ANZ_24
Real number (ℝ≥0)

ZEROS

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.08687099535
Minimum0
Maximum6
Zeros178411
Zeros (%)93.1%
Memory size1.5 MiB
2020-12-02T12:23:30.969738image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum6
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3464445385
Coefficient of variation (CV)3.988034639
Kurtosis27.34333128
Mean0.08687099535
Median Absolute Deviation (MAD)0
Skewness4.731110702
Sum16649
Variance0.1200238183
MonotocityNot monotonic
2020-12-02T12:23:31.053578image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%) 
017841193.1%
 
1102145.3%
 
227361.4%
 
32170.1%
 
463< 0.1%
 
56< 0.1%
 
65< 0.1%
 
ValueCountFrequency (%) 
017841193.1%
 
1102145.3%
 
227361.4%
 
32170.1%
 
463< 0.1%
 
56< 0.1%
 
65< 0.1%
 
ValueCountFrequency (%) 
65< 0.1%
 
56< 0.1%
 
463< 0.1%
 
32170.1%
 
227361.4%
 
1102145.3%
 
017841193.1%
 

D19_TELKO_DATUM
Real number (ℝ≥0)

Distinct10
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.482014276
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2020-12-02T12:23:31.152791image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6
Q110
median10
Q310
95-th percentile10
Maximum10
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.288102745
Coefficient of variation (CV)0.1358469528
Kurtosis11.87268648
Mean9.482014276
Median Absolute Deviation (MAD)0
Skewness-3.27854404
Sum1817247
Variance1.659208682
MonotocityNot monotonic
2020-12-02T12:23:31.245476image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1014891577.7%
 
92149611.2%
 
880004.2%
 
550422.6%
 
731371.6%
 
629191.5%
 
48770.5%
 
14910.3%
 
34010.2%
 
23740.2%
 
ValueCountFrequency (%) 
14910.3%
 
23740.2%
 
34010.2%
 
48770.5%
 
550422.6%
 
629191.5%
 
731371.6%
 
880004.2%
 
92149611.2%
 
1014891577.7%
 
ValueCountFrequency (%) 
1014891577.7%
 
92149611.2%
 
880004.2%
 
731371.6%
 
629191.5%
 
550422.6%
 
48770.5%
 
34010.2%
 
23740.2%
 
14910.3%
 

D19_TELKO_MOBILE
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.928693674
Minimum0
Maximum7
Zeros159544
Zeros (%)83.2%
Memory size1.5 MiB
2020-12-02T12:23:31.335384image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.124832386
Coefficient of variation (CV)2.287979821
Kurtosis1.867243737
Mean0.928693674
Median Absolute Deviation (MAD)0
Skewness1.931076588
Sum177986
Variance4.514912668
MonotocityNot monotonic
2020-12-02T12:23:31.430848image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
015954483.2%
 
62223811.6%
 
337612.0%
 
526801.4%
 
724601.3%
 
44330.2%
 
23870.2%
 
11490.1%
 
ValueCountFrequency (%) 
015954483.2%
 
11490.1%
 
23870.2%
 
337612.0%
 
44330.2%
 
526801.4%
 
62223811.6%
 
724601.3%
 
ValueCountFrequency (%) 
724601.3%
 
62223811.6%
 
526801.4%
 
44330.2%
 
337612.0%
 
23870.2%
 
11490.1%
 
015954483.2%
 

D19_TELKO_OFFLINE_DATUM
Real number (ℝ≥0)

Distinct10
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.799339428
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2020-12-02T12:23:31.530451image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile9
Q110
median10
Q310
95-th percentile10
Maximum10
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8326105321
Coefficient of variation (CV)0.08496598553
Kurtosis31.24514428
Mean9.799339428
Median Absolute Deviation (MAD)0
Skewness-5.284351942
Sum1878063
Variance0.6932402981
MonotocityNot monotonic
2020-12-02T12:23:31.614063image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1017567591.7%
 
970413.7%
 
840442.1%
 
528801.5%
 
69480.5%
 
76060.3%
 
41920.1%
 
11160.1%
 
378< 0.1%
 
272< 0.1%
 
ValueCountFrequency (%) 
11160.1%
 
272< 0.1%
 
378< 0.1%
 
41920.1%
 
528801.5%
 
69480.5%
 
76060.3%
 
840442.1%
 
970413.7%
 
1017567591.7%
 
ValueCountFrequency (%) 
1017567591.7%
 
970413.7%
 
840442.1%
 
76060.3%
 
69480.5%
 
528801.5%
 
41920.1%
 
378< 0.1%
 
272< 0.1%
 
11160.1%
 

D19_TELKO_ONLINE_DATUM
Real number (ℝ≥0)

Distinct10
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.978001795
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2020-12-02T12:23:31.703113image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile10
Q110
median10
Q310
95-th percentile10
Maximum10
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2602371818
Coefficient of variation (CV)0.0260810919
Kurtosis354.110959
Mean9.978001795
Median Absolute Deviation (MAD)0
Skewness-16.90329219
Sum1912304
Variance0.06772339079
MonotocityNot monotonic
2020-12-02T12:23:31.788377image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1018951698.9%
 
911820.6%
 
84820.3%
 
71490.1%
 
51290.1%
 
61250.1%
 
436< 0.1%
 
213< 0.1%
 
311< 0.1%
 
19< 0.1%
 
ValueCountFrequency (%) 
19< 0.1%
 
213< 0.1%
 
311< 0.1%
 
436< 0.1%
 
51290.1%
 
61250.1%
 
71490.1%
 
84820.3%
 
911820.6%
 
1018951698.9%
 
ValueCountFrequency (%) 
1018951698.9%
 
911820.6%
 
84820.3%
 
71490.1%
 
61250.1%
 
51290.1%
 
436< 0.1%
 
311< 0.1%
 
213< 0.1%
 
19< 0.1%
 
Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.5 MiB
0
191454 
10
 
194
5
 
3
3
 
1
ValueCountFrequency (%) 
019145499.9%
 
101940.1%
 
53< 0.1%
 
31< 0.1%
 
2020-12-02T12:23:31.893451image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)< 0.1%

Overview of Unicode Properties

Unique unicode characters5
Unique unicode categories2 ?
Unique unicode scripts1 ?
Unique unicode blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
038330066.6%
 
.19165233.3%
 
1194< 0.1%
 
53< 0.1%
 
31< 0.1%
 

Most occurring categories

ValueCountFrequency (%) 
Decimal Number38349866.7%
 
Other Punctuation19165233.3%
 

Most frequent Decimal Number characters

ValueCountFrequency (%) 
038330099.9%
 
11940.1%
 
53< 0.1%
 
31< 0.1%
 

Most frequent Other Punctuation characters

ValueCountFrequency (%) 
.191652100.0%
 

Most occurring scripts

ValueCountFrequency (%) 
Common575150100.0%
 

Most frequent Common characters

ValueCountFrequency (%) 
038330066.6%
 
.19165233.3%
 
1194< 0.1%
 
53< 0.1%
 
31< 0.1%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII575150100.0%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
038330066.6%
 
.19165233.3%
 
1194< 0.1%
 
53< 0.1%
 
31< 0.1%
 

D19_TELKO_REST
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6513785403
Minimum0
Maximum7
Zeros168650
Zeros (%)88.0%
Memory size1.5 MiB
2020-12-02T12:23:31.985632image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.811244014
Coefficient of variation (CV)2.780632002
Kurtosis4.579967189
Mean0.6513785403
Median Absolute Deviation (MAD)0
Skewness2.523157863
Sum124838
Variance3.28060488
MonotocityNot monotonic
2020-12-02T12:23:32.076109image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
016865088.0%
 
6142827.5%
 
532801.7%
 
331801.7%
 
716000.8%
 
43630.2%
 
22570.1%
 
140< 0.1%
 
ValueCountFrequency (%) 
016865088.0%
 
140< 0.1%
 
22570.1%
 
331801.7%
 
43630.2%
 
532801.7%
 
6142827.5%
 
716000.8%
 
ValueCountFrequency (%) 
716000.8%
 
6142827.5%
 
532801.7%
 
43630.2%
 
331801.7%
 
22570.1%
 
140< 0.1%
 
016865088.0%
 

D19_TIERARTIKEL
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2342474902
Minimum0
Maximum7
Zeros183788
Zeros (%)95.9%
Memory size1.5 MiB
2020-12-02T12:23:32.170819image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.167000681
Coefficient of variation (CV)4.981913272
Kurtosis23.33408455
Mean0.2342474902
Median Absolute Deviation (MAD)0
Skewness4.969094841
Sum44894
Variance1.361890588
MonotocityNot monotonic
2020-12-02T12:23:32.257094image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
018378895.9%
 
632661.7%
 
725241.3%
 
311360.6%
 
57370.4%
 
21290.1%
 
469< 0.1%
 
13< 0.1%
 
ValueCountFrequency (%) 
018378895.9%
 
13< 0.1%
 
21290.1%
 
311360.6%
 
469< 0.1%
 
57370.4%
 
632661.7%
 
725241.3%
 
ValueCountFrequency (%) 
725241.3%
 
632661.7%
 
57370.4%
 
469< 0.1%
 
311360.6%
 
21290.1%
 
13< 0.1%
 
018378895.9%
 

D19_VERSAND_ANZ_12
Real number (ℝ≥0)

ZEROS

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7712833678
Minimum0
Maximum6
Zeros122306
Zeros (%)63.8%
Memory size1.5 MiB
2020-12-02T12:23:32.350387image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile4
Maximum6
Range6
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.254807319
Coefficient of variation (CV)1.626908308
Kurtosis2.23676537
Mean0.7712833678
Median Absolute Deviation (MAD)0
Skewness1.705917564
Sum147818
Variance1.574541407
MonotocityNot monotonic
2020-12-02T12:23:32.434542image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%) 
012230663.8%
 
12671413.9%
 
22207611.5%
 
391324.8%
 
480854.2%
 
528181.5%
 
65210.3%
 
ValueCountFrequency (%) 
012230663.8%
 
12671413.9%
 
22207611.5%
 
391324.8%
 
480854.2%
 
528181.5%
 
65210.3%
 
ValueCountFrequency (%) 
65210.3%
 
528181.5%
 
480854.2%
 
391324.8%
 
22207611.5%
 
12671413.9%
 
012230663.8%
 

D19_VERSAND_ANZ_24
Real number (ℝ≥0)

ZEROS

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.206285351
Minimum0
Maximum6
Zeros102484
Zeros (%)53.5%
Memory size1.5 MiB
2020-12-02T12:23:32.520648image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile5
Maximum6
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.622334458
Coefficient of variation (CV)1.344901069
Kurtosis0.3578673553
Mean1.206285351
Median Absolute Deviation (MAD)0
Skewness1.204625579
Sum231187
Variance2.631969093
MonotocityNot monotonic
2020-12-02T12:23:32.599152image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%) 
010248453.5%
 
22572313.4%
 
12497313.0%
 
4143537.5%
 
3130736.8%
 
581394.2%
 
629071.5%
 
ValueCountFrequency (%) 
010248453.5%
 
12497313.0%
 
22572313.4%
 
3130736.8%
 
4143537.5%
 
581394.2%
 
629071.5%
 
ValueCountFrequency (%) 
629071.5%
 
581394.2%
 
4143537.5%
 
3130736.8%
 
22572313.4%
 
12497313.0%
 
010248453.5%
 

D19_VERSAND_DATUM
Real number (ℝ≥0)

Distinct10
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.164167345
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2020-12-02T12:23:32.689628image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q15
median9
Q310
95-th percentile10
Maximum10
Range9
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.09421772
Coefficient of variation (CV)0.4319019323
Kurtosis-0.9017408821
Mean7.164167345
Median Absolute Deviation (MAD)1
Skewness-0.7122862189
Sum1373027
Variance9.574183296
MonotocityNot monotonic
2020-12-02T12:23:32.773313image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
107314238.2%
 
92345912.2%
 
52196811.5%
 
1142827.5%
 
8134907.0%
 
2110265.8%
 
6104015.4%
 
488204.6%
 
783764.4%
 
366883.5%
 
ValueCountFrequency (%) 
1142827.5%
 
2110265.8%
 
366883.5%
 
488204.6%
 
52196811.5%
 
6104015.4%
 
783764.4%
 
8134907.0%
 
92345912.2%
 
107314238.2%
 
ValueCountFrequency (%) 
107314238.2%
 
92345912.2%
 
8134907.0%
 
783764.4%
 
6104015.4%
 
52196811.5%
 
488204.6%
 
366883.5%
 
2110265.8%
 
1142827.5%
 

D19_VERSAND_OFFLINE_DATUM
Real number (ℝ≥0)

Distinct10
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.691237243
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2020-12-02T12:23:32.866502image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5
Q18
median10
Q310
95-th percentile10
Maximum10
Range9
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.987109535
Coefficient of variation (CV)0.2286336778
Kurtosis2.97058246
Mean8.691237243
Median Absolute Deviation (MAD)0
Skewness-1.842252112
Sum1665693
Variance3.948604306
MonotocityNot monotonic
2020-12-02T12:23:32.945439image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1010006152.2%
 
93657319.1%
 
82002210.4%
 
5121246.3%
 
777984.1%
 
664993.4%
 
226761.4%
 
422671.2%
 
118831.0%
 
317490.9%
 
ValueCountFrequency (%) 
118831.0%
 
226761.4%
 
317490.9%
 
422671.2%
 
5121246.3%
 
664993.4%
 
777984.1%
 
82002210.4%
 
93657319.1%
 
1010006152.2%
 
ValueCountFrequency (%) 
1010006152.2%
 
93657319.1%
 
82002210.4%
 
777984.1%
 
664993.4%
 
5121246.3%
 
422671.2%
 
317490.9%
 
226761.4%
 
118831.0%
 

D19_VERSAND_ONLINE_DATUM
Real number (ℝ≥0)

Distinct10
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.699783983
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2020-12-02T12:23:33.032021image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q15
median10
Q310
95-th percentile10
Maximum10
Range9
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.033626886
Coefficient of variation (CV)0.3939885707
Kurtosis-0.4137265446
Mean7.699783983
Median Absolute Deviation (MAD)0
Skewness-1.016201771
Sum1475679
Variance9.202892085
MonotocityNot monotonic
2020-12-02T12:23:33.112287image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
109760750.9%
 
9186699.7%
 
5165698.6%
 
1123106.4%
 
288304.6%
 
687934.6%
 
887824.6%
 
476154.0%
 
769673.6%
 
355102.9%
 
ValueCountFrequency (%) 
1123106.4%
 
288304.6%
 
355102.9%
 
476154.0%
 
5165698.6%
 
687934.6%
 
769673.6%
 
887824.6%
 
9186699.7%
 
109760750.9%
 
ValueCountFrequency (%) 
109760750.9%
 
9186699.7%
 
887824.6%
 
769673.6%
 
687934.6%
 
5165698.6%
 
476154.0%
 
355102.9%
 
288304.6%
 
1123106.4%
 

D19_VERSAND_ONLINE_QUOTE_12
Real number (ℝ≥0)

ZEROS

Distinct11
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.41569094
Minimum0
Maximum10
Zeros140155
Zeros (%)73.1%
Memory size1.5 MiB
2020-12-02T12:23:33.199247image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q35
95-th percentile10
Maximum10
Range10
Interquartile range (IQR)5

Descriptive statistics

Standard deviation4.129732652
Coefficient of variation (CV)1.709545118
Kurtosis-0.4880807752
Mean2.41569094
Median Absolute Deviation (MAD)0
Skewness1.195199416
Sum462972
Variance17.05469178
MonotocityNot monotonic
2020-12-02T12:23:33.290549image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%) 
014015573.1%
 
103919820.5%
 
535471.9%
 
821691.1%
 
720161.1%
 
315690.8%
 
912270.6%
 
65170.3%
 
24690.2%
 
44060.2%
 
13790.2%
 
ValueCountFrequency (%) 
014015573.1%
 
13790.2%
 
24690.2%
 
315690.8%
 
44060.2%
 
535471.9%
 
65170.3%
 
720161.1%
 
821691.1%
 
912270.6%
 
ValueCountFrequency (%) 
103919820.5%
 
912270.6%
 
821691.1%
 
720161.1%
 
65170.3%
 
535471.9%
 
44060.2%
 
315690.8%
 
24690.2%
 
13790.2%
 

D19_VERSAND_REST
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7767672657
Minimum0
Maximum7
Zeros161199
Zeros (%)84.1%
Memory size1.5 MiB
2020-12-02T12:23:33.381708image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.884115822
Coefficient of variation (CV)2.425586022
Kurtosis3.151972912
Mean0.7767672657
Median Absolute Deviation (MAD)0
Skewness2.193928047
Sum148869
Variance3.549892429
MonotocityNot monotonic
2020-12-02T12:23:33.471411image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
016119984.1%
 
6141947.4%
 
375543.9%
 
548842.5%
 
716100.8%
 
29520.5%
 
47300.4%
 
15290.3%
 
ValueCountFrequency (%) 
016119984.1%
 
15290.3%
 
29520.5%
 
375543.9%
 
47300.4%
 
548842.5%
 
6141947.4%
 
716100.8%
 
ValueCountFrequency (%) 
716100.8%
 
6141947.4%
 
548842.5%
 
47300.4%
 
375543.9%
 
29520.5%
 
15290.3%
 
016119984.1%
 

D19_VERSI_ANZ_12
Real number (ℝ≥0)

ZEROS

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1017469163
Minimum0
Maximum6
Zeros177236
Zeros (%)92.5%
Memory size1.5 MiB
2020-12-02T12:23:33.564561image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum6
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3933027945
Coefficient of variation (CV)3.865500881
Kurtosis24.98476259
Mean0.1017469163
Median Absolute Deviation (MAD)0
Skewness4.606203053
Sum19500
Variance0.1546870882
MonotocityNot monotonic
2020-12-02T12:23:33.649326image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%) 
017723692.5%
 
1101355.3%
 
236391.9%
 
34960.3%
 
41330.1%
 
511< 0.1%
 
62< 0.1%
 
ValueCountFrequency (%) 
017723692.5%
 
1101355.3%
 
236391.9%
 
34960.3%
 
41330.1%
 
511< 0.1%
 
62< 0.1%
 
ValueCountFrequency (%) 
62< 0.1%
 
511< 0.1%
 
41330.1%
 
34960.3%
 
236391.9%
 
1101355.3%
 
017723692.5%
 

D19_VERSI_ANZ_24
Real number (ℝ≥0)

ZEROS

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1758865026
Minimum0
Maximum6
Zeros168832
Zeros (%)88.1%
Memory size1.5 MiB
2020-12-02T12:23:33.739307image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum6
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5395389456
Coefficient of variation (CV)3.06754036
Kurtosis15.68757288
Mean0.1758865026
Median Absolute Deviation (MAD)0
Skewness3.678268234
Sum33709
Variance0.2911022738
MonotocityNot monotonic
2020-12-02T12:23:33.823345image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%) 
016883288.1%
 
1143427.5%
 
266913.5%
 
312360.6%
 
44860.3%
 
557< 0.1%
 
68< 0.1%
 
ValueCountFrequency (%) 
016883288.1%
 
1143427.5%
 
266913.5%
 
312360.6%
 
44860.3%
 
557< 0.1%
 
68< 0.1%
 
ValueCountFrequency (%) 
68< 0.1%
 
557< 0.1%
 
44860.3%
 
312360.6%
 
266913.5%
 
1143427.5%
 
016883288.1%
 

D19_VERSI_DATUM
Real number (ℝ≥0)

Distinct10
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.209170789
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2020-12-02T12:23:33.919171image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5
Q110
median10
Q310
95-th percentile10
Maximum10
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.856679741
Coefficient of variation (CV)0.2016120435
Kurtosis6.730387969
Mean9.209170789
Median Absolute Deviation (MAD)0
Skewness-2.691987659
Sum1764956
Variance3.447259662
MonotocityNot monotonic
2020-12-02T12:23:34.002576image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1014675876.6%
 
9152408.0%
 
868343.6%
 
564923.4%
 
647402.5%
 
736641.9%
 
231651.7%
 
417710.9%
 
116910.9%
 
312970.7%
 
ValueCountFrequency (%) 
116910.9%
 
231651.7%
 
312970.7%
 
417710.9%
 
564923.4%
 
647402.5%
 
736641.9%
 
868343.6%
 
9152408.0%
 
1014675876.6%
 
ValueCountFrequency (%) 
1014675876.6%
 
9152408.0%
 
868343.6%
 
736641.9%
 
647402.5%
 
564923.4%
 
417710.9%
 
312970.7%
 
231651.7%
 
116910.9%
 

D19_VERSI_OFFLINE_DATUM
Real number (ℝ≥0)

Distinct10
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.917298019
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2020-12-02T12:23:34.091186image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile10
Q110
median10
Q310
95-th percentile10
Maximum10
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5634249934
Coefficient of variation (CV)0.05681234872
Kurtosis67.68284061
Mean9.917298019
Median Absolute Deviation (MAD)0
Skewness-7.986854681
Sum1900670
Variance0.3174477232
MonotocityNot monotonic
2020-12-02T12:23:34.191225image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1018592897.0%
 
921361.1%
 
517230.9%
 
812160.6%
 
63650.2%
 
71970.1%
 
437< 0.1%
 
224< 0.1%
 
316< 0.1%
 
110< 0.1%
 
ValueCountFrequency (%) 
110< 0.1%
 
224< 0.1%
 
316< 0.1%
 
437< 0.1%
 
517230.9%
 
63650.2%
 
71970.1%
 
812160.6%
 
921361.1%
 
1018592897.0%
 
ValueCountFrequency (%) 
1018592897.0%
 
921361.1%
 
812160.6%
 
71970.1%
 
63650.2%
 
517230.9%
 
437< 0.1%
 
316< 0.1%
 
224< 0.1%
 
110< 0.1%
 

D19_VERSI_ONLINE_DATUM
Real number (ℝ≥0)

Distinct10
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.98316219
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2020-12-02T12:23:34.279537image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile10
Q110
median10
Q310
95-th percentile10
Maximum10
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2613317165
Coefficient of variation (CV)0.02617724841
Kurtosis430.3124448
Mean9.98316219
Median Absolute Deviation (MAD)0
Skewness-19.37376118
Sum1913293
Variance0.06829426607
MonotocityNot monotonic
2020-12-02T12:23:34.364132image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1019050999.4%
 
93940.2%
 
82120.1%
 
71720.1%
 
51650.1%
 
61070.1%
 
449< 0.1%
 
319< 0.1%
 
113< 0.1%
 
212< 0.1%
 
ValueCountFrequency (%) 
113< 0.1%
 
212< 0.1%
 
319< 0.1%
 
449< 0.1%
 
51650.1%
 
61070.1%
 
71720.1%
 
82120.1%
 
93940.2%
 
1019050999.4%
 
ValueCountFrequency (%) 
1019050999.4%
 
93940.2%
 
82120.1%
 
71720.1%
 
61070.1%
 
51650.1%
 
449< 0.1%
 
319< 0.1%
 
212< 0.1%
 
113< 0.1%
 
Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.5 MiB
0
191394 
10
 
245
5
 
11
7
 
2
ValueCountFrequency (%) 
019139499.9%
 
102450.1%
 
511< 0.1%
 
72< 0.1%
 
2020-12-02T12:23:34.484575image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

Overview of Unicode Properties

Unique unicode characters5
Unique unicode categories2 ?
Unique unicode scripts1 ?
Unique unicode blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
038329166.6%
 
.19165233.3%
 
1245< 0.1%
 
511< 0.1%
 
72< 0.1%
 

Most occurring categories

ValueCountFrequency (%) 
Decimal Number38354966.7%
 
Other Punctuation19165233.3%
 

Most frequent Decimal Number characters

ValueCountFrequency (%) 
038329199.9%
 
12450.1%
 
511< 0.1%
 
72< 0.1%
 

Most frequent Other Punctuation characters

ValueCountFrequency (%) 
.191652100.0%
 

Most occurring scripts

ValueCountFrequency (%) 
Common575201100.0%
 

Most frequent Common characters

ValueCountFrequency (%) 
038329166.6%
 
.19165233.3%
 
1245< 0.1%
 
511< 0.1%
 
72< 0.1%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII575201100.0%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
038329166.6%
 
.19165233.3%
 
1245< 0.1%
 
511< 0.1%
 
72< 0.1%
 

D19_VERSICHERUNGEN
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.168612903
Minimum0
Maximum7
Zeros144720
Zeros (%)75.5%
Memory size1.5 MiB
2020-12-02T12:23:34.595064image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.19925685
Coefficient of variation (CV)1.881937847
Kurtosis0.6245897634
Mean1.168612903
Median Absolute Deviation (MAD)0
Skewness1.533363389
Sum223967
Variance4.836730693
MonotocityNot monotonic
2020-12-02T12:23:34.685277image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
014472075.5%
 
62207411.5%
 
3101355.3%
 
562243.2%
 
227311.4%
 
421801.1%
 
720381.1%
 
115500.8%
 
ValueCountFrequency (%) 
014472075.5%
 
115500.8%
 
227311.4%
 
3101355.3%
 
421801.1%
 
562243.2%
 
62207411.5%
 
720381.1%
 
ValueCountFrequency (%) 
720381.1%
 
62207411.5%
 
562243.2%
 
421801.1%
 
3101355.3%
 
227311.4%
 
115500.8%
 
014472075.5%
 

D19_VOLLSORTIMENT
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.365892347
Minimum0
Maximum7
Zeros108259
Zeros (%)56.5%
Memory size1.5 MiB
2020-12-02T12:23:34.775916image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q36
95-th percentile7
Maximum7
Range7
Interquartile range (IQR)6

Descriptive statistics

Standard deviation2.841913651
Coefficient of variation (CV)1.201201591
Kurtosis-1.620472871
Mean2.365892347
Median Absolute Deviation (MAD)0
Skewness0.4846577738
Sum453428
Variance8.076473199
MonotocityNot monotonic
2020-12-02T12:23:34.855802image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
010825956.5%
 
64947525.8%
 
3116226.1%
 
7104995.5%
 
576684.0%
 
220511.1%
 
412330.6%
 
18450.4%
 
ValueCountFrequency (%) 
010825956.5%
 
18450.4%
 
220511.1%
 
3116226.1%
 
412330.6%
 
576684.0%
 
64947525.8%
 
7104995.5%
 
ValueCountFrequency (%) 
7104995.5%
 
64947525.8%
 
576684.0%
 
412330.6%
 
3116226.1%
 
220511.1%
 
18450.4%
 
010825956.5%
 

D19_WEIN_FEINKOST
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7881263958
Minimum0
Maximum7
Zeros166431
Zeros (%)86.8%
Memory size1.5 MiB
2020-12-02T12:23:34.944563image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.065434151
Coefficient of variation (CV)2.620688969
Kurtosis3.500394388
Mean0.7881263958
Median Absolute Deviation (MAD)0
Skewness2.312607798
Sum151046
Variance4.266018233
MonotocityNot monotonic
2020-12-02T12:23:35.041090image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
016643186.8%
 
6129746.8%
 
784084.4%
 
321071.1%
 
514250.7%
 
41500.1%
 
21430.1%
 
114< 0.1%
 
ValueCountFrequency (%) 
016643186.8%
 
114< 0.1%
 
21430.1%
 
321071.1%
 
41500.1%
 
514250.7%
 
6129746.8%
 
784084.4%
 
ValueCountFrequency (%) 
784084.4%
 
6129746.8%
 
514250.7%
 
41500.1%
 
321071.1%
 
21430.1%
 
114< 0.1%
 
016643186.8%
 

DSL_FLAG
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.5 MiB
1
188421 
0
 
3231
ValueCountFrequency (%) 
118842198.3%
 
032311.7%
 

EINGEZOGENAM_HH_JAHR
Real number (ℝ≥0)

Distinct33
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1997.92442
Minimum1986
Maximum2018
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2020-12-02T12:23:35.154854image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1986
5-th percentile1994
Q11994
median1994
Q32001
95-th percentile2011
Maximum2018
Range32
Interquartile range (IQR)7

Descriptive statistics

Standard deviation5.8168895
Coefficient of variation (CV)0.00291146624
Kurtosis0.9334555653
Mean1997.92442
Median Absolute Deviation (MAD)0
Skewness1.412343292
Sum382906211
Variance33.83620345
MonotocityNot monotonic
2020-12-02T12:23:35.267817image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%) 
199410615555.4%
 
1997167868.8%
 
200490284.7%
 
200150892.7%
 
199949202.6%
 
200049112.6%
 
199847172.5%
 
200246822.4%
 
200740742.1%
 
200831271.6%
 
200326631.4%
 
200525831.3%
 
201525491.3%
 
201223131.2%
 
201422811.2%
 
200922751.2%
 
201122631.2%
 
200622401.2%
 
199620091.0%
 
201018801.0%
 
201317390.9%
 
199517310.9%
 
19934580.2%
 
20163360.2%
 
19923200.2%
 
Other values (8)5230.3%
 
ValueCountFrequency (%) 
19867< 0.1%
 
198717< 0.1%
 
198834< 0.1%
 
198984< 0.1%
 
19901240.1%
 
19911450.1%
 
19923200.2%
 
19934580.2%
 
199410615555.4%
 
199517310.9%
 
ValueCountFrequency (%) 
201883< 0.1%
 
201729< 0.1%
 
20163360.2%
 
201525491.3%
 
201422811.2%
 
201317390.9%
 
201223131.2%
 
201122631.2%
 
201018801.0%
 
200922751.2%
 

EWDICHTE
Real number (ℝ≥0)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.173214994
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2020-12-02T12:23:35.371894image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median5
Q35
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.466887553
Coefficient of variation (CV)0.3515005949
Kurtosis-0.5782697523
Mean4.173214994
Median Absolute Deviation (MAD)1
Skewness-0.753780181
Sum799805
Variance2.151759093
MonotocityNot monotonic
2020-12-02T12:23:35.467820image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
58243443.0%
 
62736314.3%
 
42717014.2%
 
22554613.3%
 
3172739.0%
 
1118666.2%
 
ValueCountFrequency (%) 
1118666.2%
 
22554613.3%
 
3172739.0%
 
42717014.2%
 
58243443.0%
 
62736314.3%
 
ValueCountFrequency (%) 
62736314.3%
 
58243443.0%
 
42717014.2%
 
3172739.0%
 
22554613.3%
 
1118666.2%
 

FINANZ_ANLEGER
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.439807568
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2020-12-02T12:23:35.555200image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)4

Descriptive statistics

Standard deviation1.697931919
Coefficient of variation (CV)0.695928622
Kurtosis-1.361260836
Mean2.439807568
Median Absolute Deviation (MAD)1
Skewness0.6284398669
Sum467594
Variance2.8829728
MonotocityNot monotonic
2020-12-02T12:23:35.636264image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
19443749.3%
 
55021626.2%
 
22648813.8%
 
3129436.8%
 
475683.9%
 
ValueCountFrequency (%) 
19443749.3%
 
22648813.8%
 
3129436.8%
 
475683.9%
 
55021626.2%
 
ValueCountFrequency (%) 
55021626.2%
 
475683.9%
 
3129436.8%
 
22648813.8%
 
19443749.3%
 

FINANZ_HAUSBAUER
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.781176299
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2020-12-02T12:23:35.735137image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.147352936
Coefficient of variation (CV)0.4125423247
Kurtosis-0.4444650242
Mean2.781176299
Median Absolute Deviation (MAD)1
Skewness0.3645580991
Sum533018
Variance1.316418759
MonotocityNot monotonic
2020-12-02T12:23:35.833519image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
37213937.6%
 
25370528.0%
 
12534013.2%
 
52197911.5%
 
4184899.6%
 
ValueCountFrequency (%) 
12534013.2%
 
25370528.0%
 
37213937.6%
 
4184899.6%
 
52197911.5%
 
ValueCountFrequency (%) 
52197911.5%
 
4184899.6%
 
37213937.6%
 
25370528.0%
 
12534013.2%
 

FINANZ_MINIMALIST
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.96377288
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2020-12-02T12:23:35.927399image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.036229698
Coefficient of variation (CV)0.2614250941
Kurtosis-1.026101537
Mean3.96377288
Median Absolute Deviation (MAD)1
Skewness-0.4017127499
Sum759665
Variance1.073771987
MonotocityNot monotonic
2020-12-02T12:23:36.018604image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
58444944.1%
 
36643934.7%
 
42916215.2%
 
298535.1%
 
117490.9%
 
ValueCountFrequency (%) 
117490.9%
 
298535.1%
 
36643934.7%
 
42916215.2%
 
58444944.1%
 
ValueCountFrequency (%) 
58444944.1%
 
42916215.2%
 
36643934.7%
 
298535.1%
 
117490.9%
 

FINANZ_SPARER
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.057051322
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2020-12-02T12:23:36.155726image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q34
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.31942176
Coefficient of variation (CV)0.6414141181
Kurtosis-1.270882913
Mean2.057051322
Median Absolute Deviation (MAD)0
Skewness0.6901530191
Sum394238
Variance1.74087378
MonotocityNot monotonic
2020-12-02T12:23:36.262114image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
110524054.9%
 
45069226.5%
 
22475212.9%
 
390574.7%
 
519111.0%
 
ValueCountFrequency (%) 
110524054.9%
 
22475212.9%
 
390574.7%
 
45069226.5%
 
519111.0%
 
ValueCountFrequency (%) 
519111.0%
 
45069226.5%
 
390574.7%
 
22475212.9%
 
110524054.9%
 

FINANZ_UNAUFFAELLIGER
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.646176403
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2020-12-02T12:23:36.376356image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)4

Descriptive statistics

Standard deviation1.586506089
Coefficient of variation (CV)0.599546609
Kurtosis-1.31626117
Mean2.646176403
Median Absolute Deviation (MAD)1
Skewness0.5109352912
Sum507145
Variance2.517001571
MonotocityNot monotonic
2020-12-02T12:23:36.503062image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
16138732.0%
 
25183027.0%
 
55110426.7%
 
32274611.9%
 
445852.4%
 
ValueCountFrequency (%) 
16138732.0%
 
25183027.0%
 
32274611.9%
 
445852.4%
 
55110426.7%
 
ValueCountFrequency (%) 
55110426.7%
 
445852.4%
 
32274611.9%
 
25183027.0%
 
16138732.0%
 

FINANZ_VORSORGER
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.183316636
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2020-12-02T12:23:36.622857image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q13
median5
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.9953650632
Coefficient of variation (CV)0.2379368214
Kurtosis-0.309472941
Mean4.183316636
Median Absolute Deviation (MAD)0
Skewness-0.8217365764
Sum801741
Variance0.990751609
MonotocityNot monotonic
2020-12-02T12:23:36.727027image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
510428654.4%
 
35437028.4%
 
42695414.1%
 
233431.7%
 
126991.4%
 
ValueCountFrequency (%) 
126991.4%
 
233431.7%
 
35437028.4%
 
42695414.1%
 
510428654.4%
 
ValueCountFrequency (%) 
510428654.4%
 
42695414.1%
 
35437028.4%
 
233431.7%
 
126991.4%
 

FINANZTYP
Real number (ℝ≥0)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.137958383
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2020-12-02T12:23:36.892440image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median4
Q35
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.503945795
Coefficient of variation (CV)0.3634511649
Kurtosis-1.093061913
Mean4.137958383
Median Absolute Deviation (MAD)1
Skewness-0.3987347994
Sum793048
Variance2.261852953
MonotocityNot monotonic
2020-12-02T12:23:37.027925image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
44844225.3%
 
54679224.4%
 
24427723.1%
 
64283122.3%
 
352352.7%
 
140752.1%
 
ValueCountFrequency (%) 
140752.1%
 
24427723.1%
 
352352.7%
 
44844225.3%
 
54679224.4%
 
64283122.3%
 
ValueCountFrequency (%) 
64283122.3%
 
54679224.4%
 
44844225.3%
 
352352.7%
 
24427723.1%
 
140752.1%
 

FIRMENDICHTE
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.689426669
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2020-12-02T12:23:37.158838image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median4
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9224599969
Coefficient of variation (CV)0.250028007
Kurtosis0.4662360149
Mean3.689426669
Median Absolute Deviation (MAD)0
Skewness-0.8276788251
Sum707086
Variance0.850932446
MonotocityNot monotonic
2020-12-02T12:23:37.289854image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
410393554.2%
 
33543818.5%
 
52828214.8%
 
21962510.2%
 
143722.3%
 
ValueCountFrequency (%) 
143722.3%
 
21962510.2%
 
33543818.5%
 
410393554.2%
 
52828214.8%
 
ValueCountFrequency (%) 
52828214.8%
 
410393554.2%
 
33543818.5%
 
21962510.2%
 
143722.3%
 

GEBAEUDETYP
Real number (ℝ≥0)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.01306013
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2020-12-02T12:23:37.418511image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile8
Maximum8
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.177926365
Coefficient of variation (CV)1.081898316
Kurtosis3.150432654
Mean2.01306013
Median Absolute Deviation (MAD)0
Skewness2.160074231
Sum385807
Variance4.743363251
MonotocityNot monotonic
2020-12-02T12:23:37.548236image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
114507275.7%
 
32365512.3%
 
82047510.7%
 
220571.1%
 
42510.1%
 
61420.1%
 
ValueCountFrequency (%) 
114507275.7%
 
220571.1%
 
32365512.3%
 
42510.1%
 
61420.1%
 
82047510.7%
 
ValueCountFrequency (%) 
82047510.7%
 
61420.1%
 
42510.1%
 
32365512.3%
 
220571.1%
 
114507275.7%
 

GEBAEUDETYP_RASTER
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.890942959
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2020-12-02T12:23:37.684205image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q14
median4
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7169196828
Coefficient of variation (CV)0.1842534548
Kurtosis2.21295645
Mean3.890942959
Median Absolute Deviation (MAD)0
Skewness-0.9685698261
Sum745707
Variance0.5139738315
MonotocityNot monotonic
2020-12-02T12:23:37.817797image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
412417664.8%
 
33087516.1%
 
52828214.8%
 
266493.5%
 
116700.9%
 
ValueCountFrequency (%) 
116700.9%
 
266493.5%
 
33087516.1%
 
412417664.8%
 
52828214.8%
 
ValueCountFrequency (%) 
52828214.8%
 
412417664.8%
 
33087516.1%
 
266493.5%
 
116700.9%
 

GEBURTSJAHR
Real number (ℝ≥0)

ZEROS

Distinct113
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1003.392733
Minimum0
Maximum2017
Zeros93024
Zeros (%)48.5%
Memory size1.5 MiB
2020-12-02T12:23:38.000785image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1926
Q31949
95-th percentile1970
Maximum2017
Range2017
Interquartile range (IQR)1949

Descriptive statistics

Standard deviation974.5310809
Coefficient of variation (CV)0.971235937
Kurtosis-1.996152602
Mean1003.392733
Median Absolute Deviation (MAD)54
Skewness-0.05814304244
Sum192302224
Variance949710.8276
MonotocityNot monotonic
2020-12-02T12:23:38.144074image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
09302448.5%
 
194135351.8%
 
194030851.6%
 
193930711.6%
 
194328751.5%
 
194228021.5%
 
193827751.4%
 
194426251.4%
 
193726031.4%
 
193624431.3%
 
194923521.2%
 
194822661.2%
 
195022301.2%
 
193522201.2%
 
194621651.1%
 
195421321.1%
 
194721301.1%
 
195121161.1%
 
195220911.1%
 
195320411.1%
 
195919621.0%
 
195519541.0%
 
193419321.0%
 
195619041.0%
 
196218921.0%
 
Other values (88)4142721.6%
 
ValueCountFrequency (%) 
09302448.5%
 
19003< 0.1%
 
19021< 0.1%
 
19081< 0.1%
 
19091< 0.1%
 
19106< 0.1%
 
191110< 0.1%
 
19127< 0.1%
 
19137< 0.1%
 
191413< 0.1%
 
ValueCountFrequency (%) 
201745< 0.1%
 
20167< 0.1%
 
201550< 0.1%
 
201419< 0.1%
 
201339< 0.1%
 
201268< 0.1%
 
20114< 0.1%
 
20102< 0.1%
 
20092< 0.1%
 
20086< 0.1%
 

GEMEINDETYP
Real number (ℝ≥0)

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24.04537912
Minimum11
Maximum50
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2020-12-02T12:23:38.269218image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile11
Q121
median22
Q330
95-th percentile40
Maximum50
Range39
Interquartile range (IQR)9

Descriptive statistics

Standard deviation10.16580134
Coefficient of variation (CV)0.4227756727
Kurtosis0.2831432338
Mean24.04537912
Median Absolute Deviation (MAD)8
Skewness0.8520006505
Sum4608345
Variance103.3435168
MonotocityNot monotonic
2020-12-02T12:23:38.368892image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%) 
228028441.9%
 
302474812.9%
 
122249411.7%
 
402173611.3%
 
111999210.4%
 
21130876.8%
 
5093114.9%
 
ValueCountFrequency (%) 
111999210.4%
 
122249411.7%
 
21130876.8%
 
228028441.9%
 
302474812.9%
 
402173611.3%
 
5093114.9%
 
ValueCountFrequency (%) 
5093114.9%
 
402173611.3%
 
302474812.9%
 
228028441.9%
 
21130876.8%
 
122249411.7%
 
111999210.4%
 

GFK_URLAUBERTYP
Real number (ℝ≥0)

Distinct12
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.280435372
Minimum1
Maximum12
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2020-12-02T12:23:38.479171image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q15
median5
Q38
95-th percentile11
Maximum12
Range11
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.857856608
Coefficient of variation (CV)0.4550411618
Kurtosis-0.8057442766
Mean6.280435372
Median Absolute Deviation (MAD)2
Skewness0.2752818412
Sum1203658
Variance8.167344394
MonotocityNot monotonic
2020-12-02T12:23:38.576603image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%) 
56132632.0%
 
102729114.2%
 
8176319.2%
 
4163618.5%
 
3146847.7%
 
7138267.2%
 
187824.6%
 
1174863.9%
 
1273033.8%
 
663733.3%
 
955162.9%
 
250732.6%
 
ValueCountFrequency (%) 
187824.6%
 
250732.6%
 
3146847.7%
 
4163618.5%
 
56132632.0%
 
663733.3%
 
7138267.2%
 
8176319.2%
 
955162.9%
 
102729114.2%
 
ValueCountFrequency (%) 
1273033.8%
 
1174863.9%
 
102729114.2%
 
955162.9%
 
8176319.2%
 
7138267.2%
 
663733.3%
 
56132632.0%
 
4163618.5%
 
3146847.7%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.5 MiB
0
121283 
1
70369 
ValueCountFrequency (%) 
012128363.3%
 
17036936.7%
 

HEALTH_TYP
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.5 MiB
2
105945 
1
46183 
3
39524 
ValueCountFrequency (%) 
210594555.3%
 
14618324.1%
 
33952420.6%
 
2020-12-02T12:23:38.699470image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

Overview of Unicode Properties

Unique unicode characters5
Unique unicode categories2 ?
Unique unicode scripts1 ?
Unique unicode blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
.19165233.3%
 
019165233.3%
 
210594518.4%
 
1461838.0%
 
3395246.9%
 

Most occurring categories

ValueCountFrequency (%) 
Decimal Number38330466.7%
 
Other Punctuation19165233.3%
 

Most frequent Decimal Number characters

ValueCountFrequency (%) 
019165250.0%
 
210594527.6%
 
14618312.0%
 
33952410.3%
 

Most frequent Other Punctuation characters

ValueCountFrequency (%) 
.191652100.0%
 

Most occurring scripts

ValueCountFrequency (%) 
Common574956100.0%
 

Most frequent Common characters

ValueCountFrequency (%) 
.19165233.3%
 
019165233.3%
 
210594518.4%
 
1461838.0%
 
3395246.9%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII574956100.0%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
.19165233.3%
 
019165233.3%
 
210594518.4%
 
1461838.0%
 
3395246.9%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.5 MiB
0
171005 
1
20647 
ValueCountFrequency (%) 
017100589.2%
 
12064710.8%
 

HH_EINKOMMEN_SCORE
Real number (ℝ≥0)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.927884916
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2020-12-02T12:23:38.809562image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q34
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.525872136
Coefficient of variation (CV)0.5211516778
Kurtosis-0.8423278613
Mean2.927884916
Median Absolute Deviation (MAD)1
Skewness0.5815868184
Sum561135
Variance2.328285777
MonotocityNot monotonic
2020-12-02T12:23:38.915562image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
27312838.2%
 
12993615.6%
 
42767414.4%
 
52392312.5%
 
32243811.7%
 
6145537.6%
 
ValueCountFrequency (%) 
12993615.6%
 
27312838.2%
 
32243811.7%
 
42767414.4%
 
52392312.5%
 
6145537.6%
 
ValueCountFrequency (%) 
6145537.6%
 
52392312.5%
 
42767414.4%
 
32243811.7%
 
27312838.2%
 
12993615.6%
 

INNENSTADT
Real number (ℝ≥0)

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.84073216
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2020-12-02T12:23:39.013889image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median5
Q36
95-th percentile8
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.689200292
Coefficient of variation (CV)0.3489555373
Kurtosis-0.04455073009
Mean4.84073216
Median Absolute Deviation (MAD)1
Skewness-0.09322071894
Sum927736
Variance2.853397626
MonotocityNot monotonic
2020-12-02T12:23:39.110450image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
57799040.7%
 
42770014.5%
 
61953210.2%
 
8180759.4%
 
3157928.2%
 
2143717.5%
 
7118146.2%
 
163783.3%
 
ValueCountFrequency (%) 
163783.3%
 
2143717.5%
 
3157928.2%
 
42770014.5%
 
57799040.7%
 
61953210.2%
 
7118146.2%
 
8180759.4%
 
ValueCountFrequency (%) 
8180759.4%
 
7118146.2%
 
61953210.2%
 
57799040.7%
 
42770014.5%
 
3157928.2%
 
2143717.5%
 
163783.3%
 

KBA05_ALTER1
Real number (ℝ≥0)

ZEROS

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.380189093
Minimum0
Maximum4
Zeros22932
Zeros (%)12.0%
Memory size1.5 MiB
2020-12-02T12:23:39.219135image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q32
95-th percentile3
Maximum4
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9020343656
Coefficient of variation (CV)0.653558538
Kurtosis0.3674147019
Mean1.380189093
Median Absolute Deviation (MAD)0
Skewness0.7438416276
Sum264516
Variance0.8136659968
MonotocityNot monotonic
2020-12-02T12:23:39.321447image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
110114552.8%
 
24359022.7%
 
02293212.0%
 
31974910.3%
 
442362.2%
 
ValueCountFrequency (%) 
02293212.0%
 
110114552.8%
 
24359022.7%
 
31974910.3%
 
442362.2%
 
ValueCountFrequency (%) 
442362.2%
 
31974910.3%
 
24359022.7%
 
110114552.8%
 
02293212.0%
 

KBA05_ALTER2
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.827473755
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2020-12-02T12:23:39.447804image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8608469932
Coefficient of variation (CV)0.3044579961
Kurtosis0.6163760646
Mean2.827473755
Median Absolute Deviation (MAD)0
Skewness-0.04855218039
Sum541891
Variance0.7410575457
MonotocityNot monotonic
2020-12-02T12:23:39.540075image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
310955157.2%
 
23875120.2%
 
42147411.2%
 
1148857.8%
 
569913.6%
 
ValueCountFrequency (%) 
1148857.8%
 
23875120.2%
 
310955157.2%
 
42147411.2%
 
569913.6%
 
ValueCountFrequency (%) 
569913.6%
 
42147411.2%
 
310955157.2%
 
23875120.2%
 
1148857.8%
 

KBA05_ALTER3
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.091493958
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2020-12-02T12:23:39.637024image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median3
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8743254685
Coefficient of variation (CV)0.2828164895
Kurtosis0.6320826488
Mean3.091493958
Median Absolute Deviation (MAD)0
Skewness0.09306344792
Sum592491
Variance0.7644450248
MonotocityNot monotonic
2020-12-02T12:23:39.725576image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
311114058.0%
 
43196616.7%
 
22601313.6%
 
5141627.4%
 
183714.4%
 
ValueCountFrequency (%) 
183714.4%
 
22601313.6%
 
311114058.0%
 
43196616.7%
 
5141627.4%
 
ValueCountFrequency (%) 
5141627.4%
 
43196616.7%
 
311114058.0%
 
22601313.6%
 
183714.4%
 

KBA05_ALTER4
Real number (ℝ≥0)

ZEROS

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.194211383
Minimum0
Maximum5
Zeros2435
Zeros (%)1.3%
Memory size1.5 MiB
2020-12-02T12:23:39.840188image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q13
median3
Q34
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9339451341
Coefficient of variation (CV)0.2923867653
Kurtosis1.410923562
Mean3.194211383
Median Absolute Deviation (MAD)0
Skewness-0.3056976008
Sum612177
Variance0.8722535135
MonotocityNot monotonic
2020-12-02T12:23:39.952754image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
311035257.6%
 
43737719.5%
 
5182949.5%
 
2169498.8%
 
162453.3%
 
024351.3%
 
ValueCountFrequency (%) 
024351.3%
 
162453.3%
 
2169498.8%
 
311035257.6%
 
43737719.5%
 
5182949.5%
 
ValueCountFrequency (%) 
5182949.5%
 
43737719.5%
 
311035257.6%
 
2169498.8%
 
162453.3%
 
024351.3%
 

KBA05_ANHANG
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.5 MiB
1
121940 
0
36170 
3
18018 
2
15524 
ValueCountFrequency (%) 
112194063.6%
 
03617018.9%
 
3180189.4%
 
2155248.1%
 
2020-12-02T12:23:40.071488image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

Overview of Unicode Properties

Unique unicode characters5
Unique unicode categories2 ?
Unique unicode scripts1 ?
Unique unicode blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
022782239.6%
 
.19165233.3%
 
112194021.2%
 
3180183.1%
 
2155242.7%
 

Most occurring categories

ValueCountFrequency (%) 
Decimal Number38330466.7%
 
Other Punctuation19165233.3%
 

Most frequent Decimal Number characters

ValueCountFrequency (%) 
022782259.4%
 
112194031.8%
 
3180184.7%
 
2155244.1%
 

Most frequent Other Punctuation characters

ValueCountFrequency (%) 
.191652100.0%
 

Most occurring scripts

ValueCountFrequency (%) 
Common574956100.0%
 

Most frequent Common characters

ValueCountFrequency (%) 
022782239.6%
 
.19165233.3%
 
112194021.2%
 
3180183.1%
 
2155242.7%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII574956100.0%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
022782239.6%
 
.19165233.3%
 
112194021.2%
 
3180183.1%
 
2155242.7%
 

KBA05_ANTG1
Real number (ℝ≥0)

ZEROS

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.43867009
Minimum0
Maximum4
Zeros22465
Zeros (%)11.7%
Memory size1.5 MiB
2020-12-02T12:23:40.217491image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q33
95-th percentile4
Maximum4
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.218610884
Coefficient of variation (CV)0.4997030511
Kurtosis-0.4571283784
Mean2.43867009
Median Absolute Deviation (MAD)1
Skewness-0.7467605496
Sum467376
Variance1.485012487
MonotocityNot monotonic
2020-12-02T12:23:40.321613image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
38908946.5%
 
43040815.9%
 
22878715.0%
 
02246511.7%
 
12090310.9%
 
ValueCountFrequency (%) 
02246511.7%
 
12090310.9%
 
22878715.0%
 
38908946.5%
 
43040815.9%
 
ValueCountFrequency (%) 
43040815.9%
 
38908946.5%
 
22878715.0%
 
12090310.9%
 
02246511.7%
 

KBA05_ANTG2
Real number (ℝ≥0)

ZEROS

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8558637531
Minimum0
Maximum4
Zeros99709
Zeros (%)52.0%
Memory size1.5 MiB
2020-12-02T12:23:40.425516image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile3
Maximum4
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.066515335
Coefficient of variation (CV)1.246127472
Kurtosis-0.03733423069
Mean0.8558637531
Median Absolute Deviation (MAD)0
Skewness1.010695632
Sum164028
Variance1.137454959
MonotocityNot monotonic
2020-12-02T12:23:40.519575image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
09970952.0%
 
14207922.0%
 
23051315.9%
 
3164818.6%
 
428701.5%
 
ValueCountFrequency (%) 
09970952.0%
 
14207922.0%
 
23051315.9%
 
3164818.6%
 
428701.5%
 
ValueCountFrequency (%) 
428701.5%
 
3164818.6%
 
23051315.9%
 
14207922.0%
 
09970952.0%
 

KBA05_ANTG3
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.5 MiB
0
168635 
1
 
10163
2
 
6671
3
 
6183
ValueCountFrequency (%) 
016863588.0%
 
1101635.3%
 
266713.5%
 
361833.2%
 
2020-12-02T12:23:40.633230image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

Overview of Unicode Properties

Unique unicode characters5
Unique unicode categories2 ?
Unique unicode scripts1 ?
Unique unicode blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
036028762.7%
 
.19165233.3%
 
1101631.8%
 
266711.2%
 
361831.1%
 

Most occurring categories

ValueCountFrequency (%) 
Decimal Number38330466.7%
 
Other Punctuation19165233.3%
 

Most frequent Decimal Number characters

ValueCountFrequency (%) 
036028794.0%
 
1101632.7%
 
266711.7%
 
361831.6%
 

Most frequent Other Punctuation characters

ValueCountFrequency (%) 
.191652100.0%
 

Most occurring scripts

ValueCountFrequency (%) 
Common574956100.0%
 

Most frequent Common characters

ValueCountFrequency (%) 
036028762.7%
 
.19165233.3%
 
1101631.8%
 
266711.2%
 
361831.1%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII574956100.0%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
036028762.7%
 
.19165233.3%
 
1101631.8%
 
266711.2%
 
361831.1%
 

KBA05_ANTG4
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.5 MiB
0
177467 
1
 
7560
2
 
6625
ValueCountFrequency (%) 
017746792.6%
 
175603.9%
 
266253.5%
 
2020-12-02T12:23:40.753676image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

Overview of Unicode Properties

Unique unicode characters4
Unique unicode categories2 ?
Unique unicode scripts1 ?
Unique unicode blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
036911964.2%
 
.19165233.3%
 
175601.3%
 
266251.2%
 

Most occurring categories

ValueCountFrequency (%) 
Decimal Number38330466.7%
 
Other Punctuation19165233.3%
 

Most frequent Decimal Number characters

ValueCountFrequency (%) 
036911996.3%
 
175602.0%
 
266251.7%
 

Most frequent Other Punctuation characters

ValueCountFrequency (%) 
.191652100.0%
 

Most occurring scripts

ValueCountFrequency (%) 
Common574956100.0%
 

Most frequent Common characters

ValueCountFrequency (%) 
036911964.2%
 
.19165233.3%
 
175601.3%
 
266251.2%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII574956100.0%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
036911964.2%
 
.19165233.3%
 
175601.3%
 
266251.2%
 

KBA05_AUTOQUOT
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.681949575
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2020-12-02T12:23:40.849740image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median4
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.852312304
Coefficient of variation (CV)0.2314839697
Kurtosis1.373789168
Mean3.681949575
Median Absolute Deviation (MAD)0
Skewness-0.9864011883
Sum705653
Variance0.7264362636
MonotocityNot monotonic
2020-12-02T12:23:40.941776image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
410910756.9%
 
34446023.2%
 
52168211.3%
 
2110325.8%
 
153712.8%
 
ValueCountFrequency (%) 
153712.8%
 
2110325.8%
 
34446023.2%
 
410910756.9%
 
52168211.3%
 
ValueCountFrequency (%) 
52168211.3%
 
410910756.9%
 
34446023.2%
 
2110325.8%
 
153712.8%
 

KBA05_CCM1
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.838358066
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2020-12-02T12:23:41.039903image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8235093066
Coefficient of variation (CV)0.2901358065
Kurtosis0.7971328685
Mean2.838358066
Median Absolute Deviation (MAD)0
Skewness-0.08968420664
Sum543977
Variance0.6781675781
MonotocityNot monotonic
2020-12-02T12:23:41.126332image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
311327759.1%
 
23816719.9%
 
42134011.1%
 
1129726.8%
 
558963.1%
 
ValueCountFrequency (%) 
1129726.8%
 
23816719.9%
 
311327759.1%
 
42134011.1%
 
558963.1%
 
ValueCountFrequency (%) 
558963.1%
 
42134011.1%
 
311327759.1%
 
23816719.9%
 
1129726.8%
 

KBA05_CCM2
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.928871079
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2020-12-02T12:23:41.254297image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median3
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8110562397
Coefficient of variation (CV)0.276917699
Kurtosis0.92688388
Mean2.928871079
Median Absolute Deviation (MAD)0
Skewness-0.07739220639
Sum561324
Variance0.657812224
MonotocityNot monotonic
2020-12-02T12:23:41.356707image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
311578660.4%
 
23267817.1%
 
42613013.6%
 
1103005.4%
 
567583.5%
 
ValueCountFrequency (%) 
1103005.4%
 
23267817.1%
 
311578660.4%
 
42613013.6%
 
567583.5%
 
ValueCountFrequency (%) 
567583.5%
 
42613013.6%
 
311578660.4%
 
23267817.1%
 
1103005.4%
 

KBA05_CCM3
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.166619707
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2020-12-02T12:23:41.452842image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.824468152
Coefficient of variation (CV)0.2603622248
Kurtosis0.7864415465
Mean3.166619707
Median Absolute Deviation (MAD)0
Skewness0.1476050761
Sum606889
Variance0.6797477337
MonotocityNot monotonic
2020-12-02T12:23:41.539864image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
311408659.5%
 
43675719.2%
 
22146611.2%
 
5138327.2%
 
155112.9%
 
ValueCountFrequency (%) 
155112.9%
 
22146611.2%
 
311408659.5%
 
43675719.2%
 
5138327.2%
 
ValueCountFrequency (%) 
5138327.2%
 
43675719.2%
 
311408659.5%
 
22146611.2%
 
155112.9%
 

KBA05_CCM4
Real number (ℝ≥0)

ZEROS

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.346456077
Minimum0
Maximum4
Zeros32427
Zeros (%)16.9%
Memory size1.5 MiB
2020-12-02T12:23:41.650212image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q32
95-th percentile4
Maximum4
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.055836272
Coefficient of variation (CV)0.7841594615
Kurtosis0.44166774
Mean1.346456077
Median Absolute Deviation (MAD)0
Skewness0.9825671242
Sum258051
Variance1.114790233
MonotocityNot monotonic
2020-12-02T12:23:41.744840image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
110158853.0%
 
03242716.9%
 
22796014.6%
 
3181659.5%
 
4115126.0%
 
ValueCountFrequency (%) 
03242716.9%
 
110158853.0%
 
22796014.6%
 
3181659.5%
 
4115126.0%
 
ValueCountFrequency (%) 
4115126.0%
 
3181659.5%
 
22796014.6%
 
110158853.0%
 
03242716.9%
 

KBA05_DIESEL
Real number (ℝ≥0)

ZEROS

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.128331559
Minimum0
Maximum4
Zeros5076
Zeros (%)2.6%
Memory size1.5 MiB
2020-12-02T12:23:41.842412image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median2
Q32
95-th percentile4
Maximum4
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8081506015
Coefficient of variation (CV)0.3797108575
Kurtosis0.8296100659
Mean2.128331559
Median Absolute Deviation (MAD)0
Skewness0.181749122
Sum407899
Variance0.6531073947
MonotocityNot monotonic
2020-12-02T12:23:41.930021image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
211497560.0%
 
33496418.2%
 
12449712.8%
 
4121406.3%
 
050762.6%
 
ValueCountFrequency (%) 
050762.6%
 
12449712.8%
 
211497560.0%
 
33496418.2%
 
4121406.3%
 
ValueCountFrequency (%) 
4121406.3%
 
33496418.2%
 
211497560.0%
 
12449712.8%
 
050762.6%
 

KBA05_FRAU
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.03991088
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2020-12-02T12:23:42.034399image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median3
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8285759731
Coefficient of variation (CV)0.2725658764
Kurtosis0.9519793866
Mean3.03991088
Median Absolute Deviation (MAD)0
Skewness0.08806609136
Sum582605
Variance0.6865381432
MonotocityNot monotonic
2020-12-02T12:23:42.129655image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
311674460.9%
 
42883015.0%
 
22708714.1%
 
5109725.7%
 
180194.2%
 
ValueCountFrequency (%) 
180194.2%
 
22708714.1%
 
311674460.9%
 
42883015.0%
 
5109725.7%
 
ValueCountFrequency (%) 
5109725.7%
 
42883015.0%
 
311674460.9%
 
22708714.1%
 
180194.2%
 

KBA05_GBZ
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.738400852
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2020-12-02T12:23:42.228431image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median4
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9973287317
Coefficient of variation (CV)0.2667795058
Kurtosis0.9158615701
Mean3.738400852
Median Absolute Deviation (MAD)0
Skewness-1.024358617
Sum716472
Variance0.9946645992
MonotocityNot monotonic
2020-12-02T12:23:42.319087image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
49900051.7%
 
53662919.1%
 
33471418.1%
 
2118766.2%
 
194334.9%
 
ValueCountFrequency (%) 
194334.9%
 
2118766.2%
 
33471418.1%
 
49900051.7%
 
53662919.1%
 
ValueCountFrequency (%) 
53662919.1%
 
49900051.7%
 
33471418.1%
 
2118766.2%
 
194334.9%
 

KBA05_HERST1
Real number (ℝ≥0)

ZEROS

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.526495941
Minimum0
Maximum5
Zeros5354
Zeros (%)2.8%
Memory size1.5 MiB
2020-12-02T12:23:42.413105image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median2
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.132221834
Coefficient of variation (CV)0.4481391858
Kurtosis0.1274119795
Mean2.526495941
Median Absolute Deviation (MAD)0
Skewness0.5350911678
Sum484208
Variance1.281926281
MonotocityNot monotonic
2020-12-02T12:23:42.506520image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
29586150.0%
 
33809119.9%
 
42159311.3%
 
1154818.1%
 
5152728.0%
 
053542.8%
 
ValueCountFrequency (%) 
053542.8%
 
1154818.1%
 
29586150.0%
 
33809119.9%
 
42159311.3%
 
5152728.0%
 
ValueCountFrequency (%) 
5152728.0%
 
42159311.3%
 
33809119.9%
 
29586150.0%
 
1154818.1%
 
053542.8%
 

KBA05_HERST2
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.102785257
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2020-12-02T12:23:42.600865image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median3
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.816844469
Coefficient of variation (CV)0.2632616831
Kurtosis0.8247312953
Mean3.102785257
Median Absolute Deviation (MAD)0
Skewness0.1862018439
Sum594655
Variance0.6672348865
MonotocityNot monotonic
2020-12-02T12:23:42.693110image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
311489059.9%
 
43280917.1%
 
22624013.7%
 
5121396.3%
 
155742.9%
 
ValueCountFrequency (%) 
155742.9%
 
22624013.7%
 
311489059.9%
 
43280917.1%
 
5121396.3%
 
ValueCountFrequency (%) 
5121396.3%
 
43280917.1%
 
311489059.9%
 
22624013.7%
 
155742.9%
 

KBA05_HERST3
Real number (ℝ≥0)

ZEROS

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.852221735
Minimum0
Maximum5
Zeros1918
Zeros (%)1.0%
Memory size1.5 MiB
2020-12-02T12:23:42.789930image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median3
Q33
95-th percentile4
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9027765646
Coefficient of variation (CV)0.3165169641
Kurtosis1.019534664
Mean2.852221735
Median Absolute Deviation (MAD)0
Skewness-0.3102357889
Sum546634
Variance0.8150055256
MonotocityNot monotonic
2020-12-02T12:23:42.883952image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
311151958.2%
 
23303117.2%
 
42354912.3%
 
1140897.4%
 
575463.9%
 
019181.0%
 
ValueCountFrequency (%) 
019181.0%
 
1140897.4%
 
23303117.2%
 
311151958.2%
 
42354912.3%
 
575463.9%
 
ValueCountFrequency (%) 
575463.9%
 
42354912.3%
 
311151958.2%
 
23303117.2%
 
1140897.4%
 
019181.0%
 

KBA05_HERST4
Real number (ℝ≥0)

ZEROS

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.816307683
Minimum0
Maximum5
Zeros3323
Zeros (%)1.7%
Memory size1.5 MiB
2020-12-02T12:23:42.973027image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median3
Q33
95-th percentile4
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.966015749
Coefficient of variation (CV)0.3430078876
Kurtosis0.8290399631
Mean2.816307683
Median Absolute Deviation (MAD)0
Skewness-0.3364955586
Sum539751
Variance0.9331864272
MonotocityNot monotonic
2020-12-02T12:23:43.074816image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
310632755.5%
 
23423117.9%
 
42330312.2%
 
1158118.2%
 
586574.5%
 
033231.7%
 
ValueCountFrequency (%) 
033231.7%
 
1158118.2%
 
23423117.9%
 
310632755.5%
 
42330312.2%
 
586574.5%
 
ValueCountFrequency (%) 
586574.5%
 
42330312.2%
 
310632755.5%
 
23423117.9%
 
1158118.2%
 
033231.7%
 

KBA05_HERST5
Real number (ℝ≥0)

ZEROS

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.714023334
Minimum0
Maximum5
Zeros6536
Zeros (%)3.4%
Memory size1.5 MiB
2020-12-02T12:23:43.160976image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median3
Q33
95-th percentile4
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9989067676
Coefficient of variation (CV)0.3680538613
Kurtosis0.8052435954
Mean2.714023334
Median Absolute Deviation (MAD)0
Skewness-0.5677268249
Sum520148
Variance0.9978147304
MonotocityNot monotonic
2020-12-02T12:23:43.248719image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
310397354.3%
 
23612818.9%
 
42270211.8%
 
1166008.7%
 
065363.4%
 
557133.0%
 
ValueCountFrequency (%) 
065363.4%
 
1166008.7%
 
23612818.9%
 
310397354.3%
 
42270211.8%
 
557133.0%
 
ValueCountFrequency (%) 
557133.0%
 
42270211.8%
 
310397354.3%
 
23612818.9%
 
1166008.7%
 
065363.4%
 

KBA05_HERSTTEMP
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.423089767
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2020-12-02T12:23:43.337508image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.062218401
Coefficient of variation (CV)0.4383735242
Kurtosis-0.003915904353
Mean2.423089767
Median Absolute Deviation (MAD)1
Skewness0.7600257835
Sum464390
Variance1.12830793
MonotocityNot monotonic
2020-12-02T12:23:43.430270image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
29078347.4%
 
33691619.3%
 
13137516.4%
 
42218911.6%
 
5103895.4%
 
ValueCountFrequency (%) 
13137516.4%
 
29078347.4%
 
33691619.3%
 
42218911.6%
 
5103895.4%
 
ValueCountFrequency (%) 
5103895.4%
 
42218911.6%
 
33691619.3%
 
29078347.4%
 
13137516.4%
 

KBA05_KRSAQUOT
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.277231649
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2020-12-02T12:23:43.541069image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9002690195
Coefficient of variation (CV)0.2747041149
Kurtosis0.4021316069
Mean3.277231649
Median Absolute Deviation (MAD)0
Skewness0.1123528176
Sum628088
Variance0.8104843075
MonotocityNot monotonic
2020-12-02T12:23:43.643127image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
310869756.7%
 
43755119.6%
 
52250511.7%
 
2163698.5%
 
165303.4%
 
ValueCountFrequency (%) 
165303.4%
 
2163698.5%
 
310869756.7%
 
43755119.6%
 
52250511.7%
 
ValueCountFrequency (%) 
52250511.7%
 
43755119.6%
 
310869756.7%
 
2163698.5%
 
165303.4%
 

KBA05_KRSHERST1
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.079503475
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2020-12-02T12:23:43.751927image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median3
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8338173019
Coefficient of variation (CV)0.2707635529
Kurtosis0.7127701415
Mean3.079503475
Median Absolute Deviation (MAD)0
Skewness0.02758044256
Sum590193
Variance0.695251293
MonotocityNot monotonic
2020-12-02T12:23:43.849070image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
311107558.0%
 
43564318.6%
 
22697414.1%
 
5106225.5%
 
173383.8%
 
ValueCountFrequency (%) 
173383.8%
 
22697414.1%
 
311107558.0%
 
43564318.6%
 
5106225.5%
 
ValueCountFrequency (%) 
5106225.5%
 
43564318.6%
 
311107558.0%
 
22697414.1%
 
173383.8%
 

KBA05_KRSHERST2
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.063949241
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2020-12-02T12:23:43.953468image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median3
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8565504094
Coefficient of variation (CV)0.2795576369
Kurtosis0.7679613036
Mean3.063949241
Median Absolute Deviation (MAD)0
Skewness0.02761679087
Sum587212
Variance0.7336786038
MonotocityNot monotonic
2020-12-02T12:23:44.050199image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
311316259.0%
 
43187316.6%
 
22564913.4%
 
5119926.3%
 
189764.7%
 
ValueCountFrequency (%) 
189764.7%
 
22564913.4%
 
311316259.0%
 
43187316.6%
 
5119926.3%
 
ValueCountFrequency (%) 
5119926.3%
 
43187316.6%
 
311316259.0%
 
22564913.4%
 
189764.7%
 

KBA05_KRSHERST3
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.929053702
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2020-12-02T12:23:44.161929image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median3
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8842582541
Coefficient of variation (CV)0.3018921277
Kurtosis0.6747437615
Mean2.929053702
Median Absolute Deviation (MAD)0
Skewness0.03043027415
Sum561359
Variance0.7819126599
MonotocityNot monotonic
2020-12-02T12:23:44.256125image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
311161858.2%
 
23262917.0%
 
42381012.4%
 
1129926.8%
 
5106035.5%
 
ValueCountFrequency (%) 
1129926.8%
 
23262917.0%
 
311161858.2%
 
42381012.4%
 
5106035.5%
 
ValueCountFrequency (%) 
5106035.5%
 
42381012.4%
 
311161858.2%
 
23262917.0%
 
1129926.8%
 

KBA05_KRSKLEIN
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.5 MiB
2
142654 
1
26881 
3
22117 
ValueCountFrequency (%) 
214265474.4%
 
12688114.0%
 
32211711.5%
 
2020-12-02T12:23:44.375220image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

Overview of Unicode Properties

Unique unicode characters5
Unique unicode categories2 ?
Unique unicode scripts1 ?
Unique unicode blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
.19165233.3%
 
019165233.3%
 
214265424.8%
 
1268814.7%
 
3221173.8%
 

Most occurring categories

ValueCountFrequency (%) 
Decimal Number38330466.7%
 
Other Punctuation19165233.3%
 

Most frequent Decimal Number characters

ValueCountFrequency (%) 
019165250.0%
 
214265437.2%
 
1268817.0%
 
3221175.8%
 

Most frequent Other Punctuation characters

ValueCountFrequency (%) 
.191652100.0%
 

Most occurring scripts

ValueCountFrequency (%) 
Common574956100.0%
 

Most frequent Common characters

ValueCountFrequency (%) 
.19165233.3%
 
019165233.3%
 
214265424.8%
 
1268814.7%
 
3221173.8%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII574956100.0%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
.19165233.3%
 
019165233.3%
 
214265424.8%
 
1268814.7%
 
3221173.8%
 

KBA05_KRSOBER
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.5 MiB
2
142532 
3
28364 
1
20756 
ValueCountFrequency (%) 
214253274.4%
 
32836414.8%
 
12075610.8%
 
2020-12-02T12:23:44.494807image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

Overview of Unicode Properties

Unique unicode characters5
Unique unicode categories2 ?
Unique unicode scripts1 ?
Unique unicode blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
.19165233.3%
 
019165233.3%
 
214253224.8%
 
3283644.9%
 
1207563.6%
 

Most occurring categories

ValueCountFrequency (%) 
Decimal Number38330466.7%
 
Other Punctuation19165233.3%
 

Most frequent Decimal Number characters

ValueCountFrequency (%) 
019165250.0%
 
214253237.2%
 
3283647.4%
 
1207565.4%
 

Most frequent Other Punctuation characters

ValueCountFrequency (%) 
.191652100.0%
 

Most occurring scripts

ValueCountFrequency (%) 
Common574956100.0%
 

Most frequent Common characters

ValueCountFrequency (%) 
.19165233.3%
 
019165233.3%
 
214253224.8%
 
3283644.9%
 
1207563.6%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII574956100.0%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
.19165233.3%
 
019165233.3%
 
214253224.8%
 
3283644.9%
 
1207563.6%
 

KBA05_KRSVAN
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.5 MiB
2
146729 
3
23317 
1
21606 
ValueCountFrequency (%) 
214672976.6%
 
32331712.2%
 
12160611.3%
 
2020-12-02T12:23:44.617084image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

Overview of Unicode Properties

Unique unicode characters5
Unique unicode categories2 ?
Unique unicode scripts1 ?
Unique unicode blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
.19165233.3%
 
019165233.3%
 
214672925.5%
 
3233174.1%
 
1216063.8%
 

Most occurring categories

ValueCountFrequency (%) 
Decimal Number38330466.7%
 
Other Punctuation19165233.3%
 

Most frequent Decimal Number characters

ValueCountFrequency (%) 
019165250.0%
 
214672938.3%
 
3233176.1%
 
1216065.6%
 

Most frequent Other Punctuation characters

ValueCountFrequency (%) 
.191652100.0%
 

Most occurring scripts

ValueCountFrequency (%) 
Common574956100.0%
 

Most frequent Common characters

ValueCountFrequency (%) 
.19165233.3%
 
019165233.3%
 
214672925.5%
 
3233174.1%
 
1216063.8%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII574956100.0%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
.19165233.3%
 
019165233.3%
 
214672925.5%
 
3233174.1%
 
1216063.8%
 

KBA05_KRSZUL
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.5 MiB
2
132363 
3
32866 
1
26423 
ValueCountFrequency (%) 
213236369.1%
 
33286617.1%
 
12642313.8%
 
2020-12-02T12:23:44.729786image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

Overview of Unicode Properties

Unique unicode characters5
Unique unicode categories2 ?
Unique unicode scripts1 ?
Unique unicode blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
.19165233.3%
 
019165233.3%
 
213236323.0%
 
3328665.7%
 
1264234.6%
 

Most occurring categories

ValueCountFrequency (%) 
Decimal Number38330466.7%
 
Other Punctuation19165233.3%
 

Most frequent Decimal Number characters

ValueCountFrequency (%) 
019165250.0%
 
213236334.5%
 
3328668.6%
 
1264236.9%
 

Most frequent Other Punctuation characters

ValueCountFrequency (%) 
.191652100.0%
 

Most occurring scripts

ValueCountFrequency (%) 
Common574956100.0%
 

Most frequent Common characters

ValueCountFrequency (%) 
.19165233.3%
 
019165233.3%
 
213236323.0%
 
3328665.7%
 
1264234.6%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII574956100.0%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
.19165233.3%
 
019165233.3%
 
213236323.0%
 
3328665.7%
 
1264234.6%
 

KBA05_KW1
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.80417632
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2020-12-02T12:23:44.822282image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8688179772
Coefficient of variation (CV)0.30983001
Kurtosis0.476029276
Mean2.80417632
Median Absolute Deviation (MAD)0
Skewness-0.1830991602
Sum537426
Variance0.7548446774
MonotocityNot monotonic
2020-12-02T12:23:44.912477image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
310942557.1%
 
23626218.9%
 
42270211.8%
 
1176249.2%
 
556392.9%
 
ValueCountFrequency (%) 
1176249.2%
 
23626218.9%
 
310942557.1%
 
42270211.8%
 
556392.9%
 
ValueCountFrequency (%) 
556392.9%
 
42270211.8%
 
310942557.1%
 
23626218.9%
 
1176249.2%
 

KBA05_KW2
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.05396239
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2020-12-02T12:23:45.015565image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median3
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8145470299
Coefficient of variation (CV)0.2667180947
Kurtosis1.006498463
Mean3.05396239
Median Absolute Deviation (MAD)0
Skewness0.1036219744
Sum585298
Variance0.6634868639
MonotocityNot monotonic
2020-12-02T12:23:45.115041image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
311764561.4%
 
42972215.5%
 
22638213.8%
 
5107025.6%
 
172013.8%
 
ValueCountFrequency (%) 
172013.8%
 
22638213.8%
 
311764561.4%
 
42972215.5%
 
5107025.6%
 
ValueCountFrequency (%) 
5107025.6%
 
42972215.5%
 
311764561.4%
 
22638213.8%
 
172013.8%
 

KBA05_KW3
Real number (ℝ≥0)

ZEROS

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.542029303
Minimum0
Maximum4
Zeros20709
Zeros (%)10.8%
Memory size1.5 MiB
2020-12-02T12:23:45.214186image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q32
95-th percentile4
Maximum4
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.098335547
Coefficient of variation (CV)0.7122663264
Kurtosis0.01675526714
Mean1.542029303
Median Absolute Deviation (MAD)0
Skewness0.8929809932
Sum295533
Variance1.206340974
MonotocityNot monotonic
2020-12-02T12:23:45.299916image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
110033452.4%
 
23374917.6%
 
02070910.8%
 
31973910.3%
 
4171218.9%
 
ValueCountFrequency (%) 
02070910.8%
 
110033452.4%
 
23374917.6%
 
31973910.3%
 
4171218.9%
 
ValueCountFrequency (%) 
4171218.9%
 
31973910.3%
 
23374917.6%
 
110033452.4%
 
02070910.8%
 

KBA05_MAXAH
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.131806608
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2020-12-02T12:23:45.396465image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median5
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.152042178
Coefficient of variation (CV)0.2788228703
Kurtosis-0.5329325797
Mean4.131806608
Median Absolute Deviation (MAD)0
Skewness-0.9307881971
Sum791869
Variance1.32720118
MonotocityNot monotonic
2020-12-02T12:23:45.487479image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
511130758.1%
 
33370217.6%
 
22217611.6%
 
42180311.4%
 
126641.4%
 
ValueCountFrequency (%) 
126641.4%
 
22217611.6%
 
33370217.6%
 
42180311.4%
 
511130758.1%
 
ValueCountFrequency (%) 
511130758.1%
 
42180311.4%
 
33370217.6%
 
22217611.6%
 
126641.4%
 

KBA05_MAXBJ
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.5 MiB
4
100266 
1
36367 
2
30395 
3
24624 
ValueCountFrequency (%) 
410026652.3%
 
13636719.0%
 
23039515.9%
 
32462412.8%
 
2020-12-02T12:23:45.624689image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

Overview of Unicode Properties

Unique unicode characters6
Unique unicode categories2 ?
Unique unicode scripts1 ?
Unique unicode blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
.19165233.3%
 
019165233.3%
 
410026617.4%
 
1363676.3%
 
2303955.3%
 
3246244.3%
 

Most occurring categories

ValueCountFrequency (%) 
Decimal Number38330466.7%
 
Other Punctuation19165233.3%
 

Most frequent Decimal Number characters

ValueCountFrequency (%) 
019165250.0%
 
410026626.2%
 
1363679.5%
 
2303957.9%
 
3246246.4%
 

Most frequent Other Punctuation characters

ValueCountFrequency (%) 
.191652100.0%
 

Most occurring scripts

ValueCountFrequency (%) 
Common574956100.0%
 

Most frequent Common characters

ValueCountFrequency (%) 
.19165233.3%
 
019165233.3%
 
410026617.4%
 
1363676.3%
 
2303955.3%
 
3246244.3%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII574956100.0%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
.19165233.3%
 
019165233.3%
 
410026617.4%
 
1363676.3%
 
2303955.3%
 
3246244.3%
 

KBA05_MAXHERST
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.347483981
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2020-12-02T12:23:45.720914image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9082574258
Coefficient of variation (CV)0.3869067619
Kurtosis1.10624533
Mean2.347483981
Median Absolute Deviation (MAD)0
Skewness1.090194059
Sum449900
Variance0.8249315515
MonotocityNot monotonic
2020-12-02T12:23:45.802780image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
211454459.8%
 
33342017.4%
 
12033910.6%
 
4165328.6%
 
568173.6%
 
ValueCountFrequency (%) 
12033910.6%
 
211454459.8%
 
33342017.4%
 
4165328.6%
 
568173.6%
 
ValueCountFrequency (%) 
568173.6%
 
4165328.6%
 
33342017.4%
 
211454459.8%
 
12033910.6%
 

KBA05_MAXSEG
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.5 MiB
2
109412 
1
33893 
3
31548 
4
16799 
ValueCountFrequency (%) 
210941257.1%
 
13389317.7%
 
33154816.5%
 
4167998.8%
 
2020-12-02T12:23:45.914219image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

Overview of Unicode Properties

Unique unicode characters6
Unique unicode categories2 ?
Unique unicode scripts1 ?
Unique unicode blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
.19165233.3%
 
019165233.3%
 
210941219.0%
 
1338935.9%
 
3315485.5%
 
4167992.9%
 

Most occurring categories

ValueCountFrequency (%) 
Decimal Number38330466.7%
 
Other Punctuation19165233.3%
 

Most frequent Decimal Number characters

ValueCountFrequency (%) 
019165250.0%
 
210941228.5%
 
1338938.8%
 
3315488.2%
 
4167994.4%
 

Most frequent Other Punctuation characters

ValueCountFrequency (%) 
.191652100.0%
 

Most occurring scripts

ValueCountFrequency (%) 
Common574956100.0%
 

Most frequent Common characters

ValueCountFrequency (%) 
.19165233.3%
 
019165233.3%
 
210941219.0%
 
1338935.9%
 
3315485.5%
 
4167992.9%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII574956100.0%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
.19165233.3%
 
019165233.3%
 
210941219.0%
 
1338935.9%
 
3315485.5%
 
4167992.9%
 

KBA05_MAXVORB
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.5 MiB
2
121967 
1
45305 
3
24380 
ValueCountFrequency (%) 
212196763.6%
 
14530523.6%
 
32438012.7%
 
2020-12-02T12:23:46.027201image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

Overview of Unicode Properties

Unique unicode characters5
Unique unicode categories2 ?
Unique unicode scripts1 ?
Unique unicode blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
.19165233.3%
 
019165233.3%
 
212196721.2%
 
1453057.9%
 
3243804.2%
 

Most occurring categories

ValueCountFrequency (%) 
Decimal Number38330466.7%
 
Other Punctuation19165233.3%
 

Most frequent Decimal Number characters

ValueCountFrequency (%) 
019165250.0%
 
212196731.8%
 
14530511.8%
 
3243806.4%
 

Most frequent Other Punctuation characters

ValueCountFrequency (%) 
.191652100.0%
 

Most occurring scripts

ValueCountFrequency (%) 
Common574956100.0%
 

Most frequent Common characters

ValueCountFrequency (%) 
.19165233.3%
 
019165233.3%
 
212196721.2%
 
1453057.9%
 
3243804.2%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII574956100.0%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
.19165233.3%
 
019165233.3%
 
212196721.2%
 
1453057.9%
 
3243804.2%
 

KBA05_MOD1
Real number (ℝ≥0)

ZEROS

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.740274038
Minimum0
Maximum4
Zeros32586
Zeros (%)17.0%
Memory size1.5 MiB
2020-12-02T12:23:46.123195image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q32
95-th percentile4
Maximum4
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.062074163
Coefficient of variation (CV)0.6102913332
Kurtosis-0.2501281702
Mean1.740274038
Median Absolute Deviation (MAD)1
Skewness-0.01174412882
Sum333527
Variance1.128001528
MonotocityNot monotonic
2020-12-02T12:23:46.216478image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
29569649.9%
 
03258617.0%
 
12988715.6%
 
32168411.3%
 
4117996.2%
 
ValueCountFrequency (%) 
03258617.0%
 
12988715.6%
 
29569649.9%
 
32168411.3%
 
4117996.2%
 
ValueCountFrequency (%) 
4117996.2%
 
32168411.3%
 
29569649.9%
 
12988715.6%
 
03258617.0%
 

KBA05_MOD2
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.002061027
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2020-12-02T12:23:46.348729image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median3
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8056075869
Coefficient of variation (CV)0.2683515024
Kurtosis0.9827943874
Mean3.002061027
Median Absolute Deviation (MAD)0
Skewness-0.02774457321
Sum575351
Variance0.6490035841
MonotocityNot monotonic
2020-12-02T12:23:46.454098image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
311654460.8%
 
42994015.6%
 
22874315.0%
 
184134.4%
 
580124.2%
 
ValueCountFrequency (%) 
184134.4%
 
22874315.0%
 
311654460.8%
 
42994015.6%
 
580124.2%
 
ValueCountFrequency (%) 
580124.2%
 
42994015.6%
 
311654460.8%
 
22874315.0%
 
184134.4%
 

KBA05_MOD3
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.025134097
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2020-12-02T12:23:46.569613image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median3
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8436661615
Coefficient of variation (CV)0.2788855417
Kurtosis0.658580371
Mean3.025134097
Median Absolute Deviation (MAD)0
Skewness0.0165285322
Sum579773
Variance0.7117725921
MonotocityNot monotonic
2020-12-02T12:23:46.679279image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
310996857.4%
 
43288017.2%
 
23052115.9%
 
597565.1%
 
185274.4%
 
ValueCountFrequency (%) 
185274.4%
 
23052115.9%
 
310996857.4%
 
43288017.2%
 
597565.1%
 
ValueCountFrequency (%) 
597565.1%
 
43288017.2%
 
310996857.4%
 
23052115.9%
 
185274.4%
 

KBA05_MOD4
Real number (ℝ≥0)

ZEROS

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.800377768
Minimum0
Maximum5
Zeros5107
Zeros (%)2.7%
Memory size1.5 MiB
2020-12-02T12:23:46.799248image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median3
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.06550818
Coefficient of variation (CV)0.3804873016
Kurtosis0.4489462786
Mean2.800377768
Median Absolute Deviation (MAD)0
Skewness-0.3284262345
Sum536698
Variance1.135307682
MonotocityNot monotonic
2020-12-02T12:23:46.993941image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
310032752.3%
 
23121416.3%
 
42399112.5%
 
11943510.1%
 
5115786.0%
 
051072.7%
 
ValueCountFrequency (%) 
051072.7%
 
11943510.1%
 
23121416.3%
 
310032752.3%
 
42399112.5%
 
5115786.0%
 
ValueCountFrequency (%) 
5115786.0%
 
42399112.5%
 
310032752.3%
 
23121416.3%
 
11943510.1%
 
051072.7%
 

KBA05_MOD8
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.5 MiB
1
102428 
2
45005 
0
26798 
3
17421 
ValueCountFrequency (%) 
110242853.4%
 
24500523.5%
 
02679814.0%
 
3174219.1%
 
2020-12-02T12:23:47.155676image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

Overview of Unicode Properties

Unique unicode characters5
Unique unicode categories2 ?
Unique unicode scripts1 ?
Unique unicode blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
021845038.0%
 
.19165233.3%
 
110242817.8%
 
2450057.8%
 
3174213.0%
 

Most occurring categories

ValueCountFrequency (%) 
Decimal Number38330466.7%
 
Other Punctuation19165233.3%
 

Most frequent Decimal Number characters

ValueCountFrequency (%) 
021845057.0%
 
110242826.7%
 
24500511.7%
 
3174214.5%
 

Most frequent Other Punctuation characters

ValueCountFrequency (%) 
.191652100.0%
 

Most occurring scripts

ValueCountFrequency (%) 
Common574956100.0%
 

Most frequent Common characters

ValueCountFrequency (%) 
021845038.0%
 
.19165233.3%
 
110242817.8%
 
2450057.8%
 
3174213.0%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII574956100.0%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
021845038.0%
 
.19165233.3%
 
110242817.8%
 
2450057.8%
 
3174213.0%
 

KBA05_MODTEMP
Real number (ℝ≥0)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.935539415
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2020-12-02T12:23:47.277568image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median3
Q34
95-th percentile5
Maximum6
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.071443494
Coefficient of variation (CV)0.364990328
Kurtosis-0.1161771361
Mean2.935539415
Median Absolute Deviation (MAD)1
Skewness-0.2713108715
Sum562602
Variance1.147991161
MonotocityNot monotonic
2020-12-02T12:23:47.379606image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
39557649.9%
 
43932220.5%
 
12914915.2%
 
2164518.6%
 
5103895.4%
 
67650.4%
 
ValueCountFrequency (%) 
12914915.2%
 
2164518.6%
 
39557649.9%
 
43932220.5%
 
5103895.4%
 
67650.4%
 
ValueCountFrequency (%) 
67650.4%
 
5103895.4%
 
43932220.5%
 
39557649.9%
 
2164518.6%
 
12914915.2%
 

KBA05_MOTOR
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.5 MiB
3
115270 
2
32087 
4
29964 
1
14331 
ValueCountFrequency (%) 
311527060.1%
 
23208716.7%
 
42996415.6%
 
1143317.5%
 
2020-12-02T12:23:47.511198image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

Overview of Unicode Properties

Unique unicode characters6
Unique unicode categories2 ?
Unique unicode scripts1 ?
Unique unicode blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
.19165233.3%
 
019165233.3%
 
311527020.0%
 
2320875.6%
 
4299645.2%
 
1143312.5%
 

Most occurring categories

ValueCountFrequency (%) 
Decimal Number38330466.7%
 
Other Punctuation19165233.3%
 

Most frequent Decimal Number characters

ValueCountFrequency (%) 
019165250.0%
 
311527030.1%
 
2320878.4%
 
4299647.8%
 
1143313.7%
 

Most frequent Other Punctuation characters

ValueCountFrequency (%) 
.191652100.0%
 

Most occurring scripts

ValueCountFrequency (%) 
Common574956100.0%
 

Most frequent Common characters

ValueCountFrequency (%) 
.19165233.3%
 
019165233.3%
 
311527020.0%
 
2320875.6%
 
4299645.2%
 
1143312.5%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII574956100.0%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
.19165233.3%
 
019165233.3%
 
311527020.0%
 
2320875.6%
 
4299645.2%
 
1143312.5%
 

KBA05_MOTRAD
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.5 MiB
1
130156 
0
26539 
3
18115 
2
16842 
ValueCountFrequency (%) 
113015667.9%
 
02653913.8%
 
3181159.5%
 
2168428.8%
 
2020-12-02T12:23:47.640942image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

Overview of Unicode Properties

Unique unicode characters5
Unique unicode categories2 ?
Unique unicode scripts1 ?
Unique unicode blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
021819137.9%
 
.19165233.3%
 
113015622.6%
 
3181153.2%
 
2168422.9%
 

Most occurring categories

ValueCountFrequency (%) 
Decimal Number38330466.7%
 
Other Punctuation19165233.3%
 

Most frequent Decimal Number characters

ValueCountFrequency (%) 
021819156.9%
 
113015634.0%
 
3181154.7%
 
2168424.4%
 

Most frequent Other Punctuation characters

ValueCountFrequency (%) 
.191652100.0%
 

Most occurring scripts

ValueCountFrequency (%) 
Common574956100.0%
 

Most frequent Common characters

ValueCountFrequency (%) 
021819137.9%
 
.19165233.3%
 
113015622.6%
 
3181153.2%
 
2168422.9%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII574956100.0%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
021819137.9%
 
.19165233.3%
 
113015622.6%
 
3181153.2%
 
2168422.9%
 

KBA05_SEG1
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.5 MiB
1
111999 
0
36867 
2
34669 
3
 
8117
ValueCountFrequency (%) 
111199958.4%
 
03686719.2%
 
23466918.1%
 
381174.2%
 
2020-12-02T12:23:47.757919image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

Overview of Unicode Properties

Unique unicode characters5
Unique unicode categories2 ?
Unique unicode scripts1 ?
Unique unicode blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
022851939.7%
 
.19165233.3%
 
111199919.5%
 
2346696.0%
 
381171.4%
 

Most occurring categories

ValueCountFrequency (%) 
Decimal Number38330466.7%
 
Other Punctuation19165233.3%
 

Most frequent Decimal Number characters

ValueCountFrequency (%) 
022851959.6%
 
111199929.2%
 
2346699.0%
 
381172.1%
 

Most frequent Other Punctuation characters

ValueCountFrequency (%) 
.191652100.0%
 

Most occurring scripts

ValueCountFrequency (%) 
Common574956100.0%
 

Most frequent Common characters

ValueCountFrequency (%) 
022851939.7%
 
.19165233.3%
 
111199919.5%
 
2346696.0%
 
381171.4%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII574956100.0%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
022851939.7%
 
.19165233.3%
 
111199919.5%
 
2346696.0%
 
381171.4%
 

KBA05_SEG10
Real number (ℝ≥0)

ZEROS

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.081100119
Minimum0
Maximum4
Zeros9635
Zeros (%)5.0%
Memory size1.5 MiB
2020-12-02T12:23:47.863559image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median2
Q32
95-th percentile4
Maximum4
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.88455949
Coefficient of variation (CV)0.4250441783
Kurtosis0.6123850764
Mean2.081100119
Median Absolute Deviation (MAD)0
Skewness0.02350885877
Sum398847
Variance0.7824454913
MonotocityNot monotonic
2020-12-02T12:23:47.960575image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
211032657.6%
 
33275917.1%
 
12527013.2%
 
4136627.1%
 
096355.0%
 
ValueCountFrequency (%) 
096355.0%
 
12527013.2%
 
211032657.6%
 
33275917.1%
 
4136627.1%
 
ValueCountFrequency (%) 
4136627.1%
 
33275917.1%
 
211032657.6%
 
12527013.2%
 
096355.0%
 

KBA05_SEG2
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.914996974
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2020-12-02T12:23:48.062805image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median3
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8150026576
Coefficient of variation (CV)0.2795895382
Kurtosis0.8894952716
Mean2.914996974
Median Absolute Deviation (MAD)0
Skewness-0.1703205821
Sum558665
Variance0.664229332
MonotocityNot monotonic
2020-12-02T12:23:48.182616image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
311589960.5%
 
23154016.5%
 
42656913.9%
 
1116526.1%
 
559923.1%
 
ValueCountFrequency (%) 
1116526.1%
 
23154016.5%
 
311589960.5%
 
42656913.9%
 
559923.1%
 
ValueCountFrequency (%) 
559923.1%
 
42656913.9%
 
311589960.5%
 
23154016.5%
 
1116526.1%
 

KBA05_SEG3
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.893108342
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2020-12-02T12:23:48.340153image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8160903133
Coefficient of variation (CV)0.2820807992
Kurtosis0.7386074062
Mean2.893108342
Median Absolute Deviation (MAD)0
Skewness-0.02312591035
Sum554470
Variance0.6660033994
MonotocityNot monotonic
2020-12-02T12:23:50.464901image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
311126858.1%
 
23834620.0%
 
42555613.3%
 
1101655.3%
 
563173.3%
 
ValueCountFrequency (%) 
1101655.3%
 
23834620.0%
 
311126858.1%
 
42555613.3%
 
563173.3%
 
ValueCountFrequency (%) 
563173.3%
 
42555613.3%
 
311126858.1%
 
23834620.0%
 
1101655.3%
 

KBA05_SEG4
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.006078726
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2020-12-02T12:23:50.579431image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median3
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7967822171
Coefficient of variation (CV)0.2650570027
Kurtosis1.18420551
Mean3.006078726
Median Absolute Deviation (MAD)0
Skewness0.05689953752
Sum576121
Variance0.6348619015
MonotocityNot monotonic
2020-12-02T12:23:50.697330image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
312039462.8%
 
22773814.5%
 
42671313.9%
 
589514.7%
 
178564.1%
 
ValueCountFrequency (%) 
178564.1%
 
22773814.5%
 
312039462.8%
 
42671313.9%
 
589514.7%
 
ValueCountFrequency (%) 
589514.7%
 
42671313.9%
 
312039462.8%
 
22773814.5%
 
178564.1%
 

KBA05_SEG5
Real number (ℝ≥0)

ZEROS

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.516216893
Minimum0
Maximum4
Zeros18467
Zeros (%)9.6%
Memory size1.5 MiB
2020-12-02T12:23:50.827854image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q32
95-th percentile4
Maximum4
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.022026024
Coefficient of variation (CV)0.674063209
Kurtosis0.2136019553
Mean1.516216893
Median Absolute Deviation (MAD)0
Skewness0.8873044463
Sum290586
Variance1.044537195
MonotocityNot monotonic
2020-12-02T12:23:50.931318image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
110134352.9%
 
23841920.0%
 
32128711.1%
 
0184679.6%
 
4121366.3%
 
ValueCountFrequency (%) 
0184679.6%
 
110134352.9%
 
23841920.0%
 
32128711.1%
 
4121366.3%
 
ValueCountFrequency (%) 
4121366.3%
 
32128711.1%
 
23841920.0%
 
110134352.9%
 
0184679.6%
 

KBA05_SEG6
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.5 MiB
0
167923 
1
23729 
ValueCountFrequency (%) 
016792387.6%
 
12372912.4%
 

KBA05_SEG7
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.5 MiB
0
110643 
1
43092 
2
29327 
3
 
8590
ValueCountFrequency (%) 
011064357.7%
 
14309222.5%
 
22932715.3%
 
385904.5%
 
2020-12-02T12:23:51.061535image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

Overview of Unicode Properties

Unique unicode characters5
Unique unicode categories2 ?
Unique unicode scripts1 ?
Unique unicode blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
030229552.6%
 
.19165233.3%
 
1430927.5%
 
2293275.1%
 
385901.5%
 

Most occurring categories

ValueCountFrequency (%) 
Decimal Number38330466.7%
 
Other Punctuation19165233.3%
 

Most frequent Decimal Number characters

ValueCountFrequency (%) 
030229578.9%
 
14309211.2%
 
2293277.7%
 
385902.2%
 

Most frequent Other Punctuation characters

ValueCountFrequency (%) 
.191652100.0%
 

Most occurring scripts

ValueCountFrequency (%) 
Common574956100.0%
 

Most frequent Common characters

ValueCountFrequency (%) 
030229552.6%
 
.19165233.3%
 
1430927.5%
 
2293275.1%
 
385901.5%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII574956100.0%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
030229552.6%
 
.19165233.3%
 
1430927.5%
 
2293275.1%
 
385901.5%
 

KBA05_SEG8
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.5 MiB
0
111698 
1
42095 
2
28374 
3
 
9485
ValueCountFrequency (%) 
011169858.3%
 
14209522.0%
 
22837414.8%
 
394854.9%
 
2020-12-02T12:23:51.197107image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

Overview of Unicode Properties

Unique unicode characters5
Unique unicode categories2 ?
Unique unicode scripts1 ?
Unique unicode blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
030335052.8%
 
.19165233.3%
 
1420957.3%
 
2283744.9%
 
394851.6%
 

Most occurring categories

ValueCountFrequency (%) 
Decimal Number38330466.7%
 
Other Punctuation19165233.3%
 

Most frequent Decimal Number characters

ValueCountFrequency (%) 
030335079.1%
 
14209511.0%
 
2283747.4%
 
394852.5%
 

Most frequent Other Punctuation characters

ValueCountFrequency (%) 
.191652100.0%
 

Most occurring scripts

ValueCountFrequency (%) 
Common574956100.0%
 

Most frequent Common characters

ValueCountFrequency (%) 
030335052.8%
 
.19165233.3%
 
1420957.3%
 
2283744.9%
 
394851.6%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII574956100.0%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
030335052.8%
 
.19165233.3%
 
1420957.3%
 
2283744.9%
 
394851.6%
 

KBA05_SEG9
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.5 MiB
1
108618 
2
38399 
0
34324 
3
 
10311
ValueCountFrequency (%) 
110861856.7%
 
23839920.0%
 
03432417.9%
 
3103115.4%
 
2020-12-02T12:23:51.332014image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

Overview of Unicode Properties

Unique unicode characters5
Unique unicode categories2 ?
Unique unicode scripts1 ?
Unique unicode blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
022597639.3%
 
.19165233.3%
 
110861818.9%
 
2383996.7%
 
3103111.8%
 

Most occurring categories

ValueCountFrequency (%) 
Decimal Number38330466.7%
 
Other Punctuation19165233.3%
 

Most frequent Decimal Number characters

ValueCountFrequency (%) 
022597659.0%
 
110861828.3%
 
23839910.0%
 
3103112.7%
 

Most frequent Other Punctuation characters

ValueCountFrequency (%) 
.191652100.0%
 

Most occurring scripts

ValueCountFrequency (%) 
Common574956100.0%
 

Most frequent Common characters

ValueCountFrequency (%) 
022597639.3%
 
.19165233.3%
 
110861818.9%
 
2383996.7%
 
3103111.8%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII574956100.0%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
022597639.3%
 
.19165233.3%
 
110861818.9%
 
2383996.7%
 
3103111.8%
 

KBA05_VORB0
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.18675516
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2020-12-02T12:23:51.444342image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8956306296
Coefficient of variation (CV)0.2810478322
Kurtosis0.3651478817
Mean3.18675516
Median Absolute Deviation (MAD)0
Skewness0.03085257174
Sum610748
Variance0.8021542246
MonotocityNot monotonic
2020-12-02T12:23:51.544069image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
310376854.1%
 
44044321.1%
 
22326312.1%
 
5167428.7%
 
174363.9%
 
ValueCountFrequency (%) 
174363.9%
 
22326312.1%
 
310376854.1%
 
44044321.1%
 
5167428.7%
 
ValueCountFrequency (%) 
5167428.7%
 
44044321.1%
 
310376854.1%
 
22326312.1%
 
174363.9%
 

KBA05_VORB1
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.989146996
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2020-12-02T12:23:51.649327image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median3
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8266079366
Coefficient of variation (CV)0.2765363958
Kurtosis0.9899371588
Mean2.989146996
Median Absolute Deviation (MAD)0
Skewness0.00798096283
Sum572876
Variance0.6832806808
MonotocityNot monotonic
2020-12-02T12:23:51.742966image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
311719861.2%
 
22862714.9%
 
42698714.1%
 
195305.0%
 
593104.9%
 
ValueCountFrequency (%) 
195305.0%
 
22862714.9%
 
311719861.2%
 
42698714.1%
 
593104.9%
 
ValueCountFrequency (%) 
593104.9%
 
42698714.1%
 
311719861.2%
 
22862714.9%
 
195305.0%
 

KBA05_VORB2
Real number (ℝ≥0)

ZEROS

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.480188049
Minimum0
Maximum5
Zeros11641
Zeros (%)6.1%
Memory size1.5 MiB
2020-12-02T12:23:51.853119image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q33
95-th percentile4
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.084132643
Coefficient of variation (CV)0.4371171144
Kurtosis0.1773061941
Mean2.480188049
Median Absolute Deviation (MAD)0
Skewness-0.5041940082
Sum475333
Variance1.175343588
MonotocityNot monotonic
2020-12-02T12:23:51.961434image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
39803651.2%
 
23790319.8%
 
12524213.2%
 
4139737.3%
 
0116416.1%
 
548572.5%
 
ValueCountFrequency (%) 
0116416.1%
 
12524213.2%
 
23790319.8%
 
39803651.2%
 
4139737.3%
 
548572.5%
 
ValueCountFrequency (%) 
548572.5%
 
4139737.3%
 
39803651.2%
 
23790319.8%
 
12524213.2%
 
0116416.1%
 

KBA05_ZUL1
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.818744391
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2020-12-02T12:23:52.064246image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8033288988
Coefficient of variation (CV)0.2849952984
Kurtosis0.7618862002
Mean2.818744391
Median Absolute Deviation (MAD)0
Skewness-0.2996336855
Sum540218
Variance0.6453373197
MonotocityNot monotonic
2020-12-02T12:23:52.163878image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
311578760.4%
 
23571218.6%
 
42211611.5%
 
1143047.5%
 
537331.9%
 
ValueCountFrequency (%) 
1143047.5%
 
23571218.6%
 
311578760.4%
 
42211611.5%
 
537331.9%
 
ValueCountFrequency (%) 
537331.9%
 
42211611.5%
 
311578760.4%
 
23571218.6%
 
1143047.5%
 

KBA05_ZUL2
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.033200801
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2020-12-02T12:23:52.276887image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median3
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8155323567
Coefficient of variation (CV)0.2688685682
Kurtosis0.8794094287
Mean3.033200801
Median Absolute Deviation (MAD)0
Skewness0.07395855238
Sum581319
Variance0.6650930248
MonotocityNot monotonic
2020-12-02T12:23:52.393751image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
311474159.9%
 
43083816.1%
 
22915115.2%
 
596305.0%
 
172923.8%
 
ValueCountFrequency (%) 
172923.8%
 
22915115.2%
 
311474159.9%
 
43083816.1%
 
596305.0%
 
ValueCountFrequency (%) 
596305.0%
 
43083816.1%
 
311474159.9%
 
22915115.2%
 
172923.8%
 

KBA05_ZUL3
Real number (ℝ≥0)

ZEROS

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.948933484
Minimum0
Maximum5
Zeros5137
Zeros (%)2.7%
Memory size1.5 MiB
2020-12-02T12:23:52.505297image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q13
median3
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.015615569
Coefficient of variation (CV)0.3444009756
Kurtosis0.9977262746
Mean2.948933484
Median Absolute Deviation (MAD)0
Skewness-0.5152637447
Sum565169
Variance1.031474983
MonotocityNot monotonic
2020-12-02T12:23:52.599225image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
310239553.4%
 
43368117.6%
 
22782914.5%
 
1113625.9%
 
5112485.9%
 
051372.7%
 
ValueCountFrequency (%) 
051372.7%
 
1113625.9%
 
22782914.5%
 
310239553.4%
 
43368117.6%
 
5112485.9%
 
ValueCountFrequency (%) 
5112485.9%
 
43368117.6%
 
310239553.4%
 
22782914.5%
 
1113625.9%
 
051372.7%
 

KBA05_ZUL4
Real number (ℝ≥0)

ZEROS

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.286649761
Minimum0
Maximum5
Zeros8776
Zeros (%)4.6%
Memory size1.5 MiB
2020-12-02T12:23:52.696417image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median2
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.163924126
Coefficient of variation (CV)0.5090084829
Kurtosis0.1022619186
Mean2.286649761
Median Absolute Deviation (MAD)1
Skewness0.5284399427
Sum438241
Variance1.354719371
MonotocityNot monotonic
2020-12-02T12:23:52.808240image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
29312048.6%
 
13021415.8%
 
32690014.0%
 
42212311.5%
 
5105195.5%
 
087764.6%
 
ValueCountFrequency (%) 
087764.6%
 
13021415.8%
 
29312048.6%
 
32690014.0%
 
42212311.5%
 
5105195.5%
 
ValueCountFrequency (%) 
5105195.5%
 
42212311.5%
 
32690014.0%
 
29312048.6%
 
13021415.8%
 
087764.6%
 

KBA13_ALTERHALTER_30
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.72579467
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2020-12-02T12:23:52.911414image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8442227008
Coefficient of variation (CV)0.3097161757
Kurtosis0.6077647384
Mean2.72579467
Median Absolute Deviation (MAD)0
Skewness-0.2401810667
Sum522404
Variance0.7127119685
MonotocityNot monotonic
2020-12-02T12:23:53.015896image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
311397359.5%
 
23765219.6%
 
11984210.4%
 
4155868.1%
 
545992.4%
 
ValueCountFrequency (%) 
11984210.4%
 
23765219.6%
 
311397359.5%
 
4155868.1%
 
545992.4%
 
ValueCountFrequency (%) 
545992.4%
 
4155868.1%
 
311397359.5%
 
23765219.6%
 
11984210.4%
 

KBA13_ALTERHALTER_45
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.003078496
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2020-12-02T12:23:53.131697image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median3
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.897564255
Coefficient of variation (CV)0.2988813832
Kurtosis0.5527487269
Mean3.003078496
Median Absolute Deviation (MAD)0
Skewness-0.02508245913
Sum575546
Variance0.8056215918
MonotocityNot monotonic
2020-12-02T12:23:53.251164image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
310912056.9%
 
43002315.7%
 
22855314.9%
 
1121986.4%
 
5117586.1%
 
ValueCountFrequency (%) 
1121986.4%
 
22855314.9%
 
310912056.9%
 
43002315.7%
 
5117586.1%
 
ValueCountFrequency (%) 
5117586.1%
 
43002315.7%
 
310912056.9%
 
22855314.9%
 
1121986.4%
 

KBA13_ALTERHALTER_60
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.945860205
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2020-12-02T12:23:53.356113image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median3
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8748313696
Coefficient of variation (CV)0.2969697503
Kurtosis0.6529195826
Mean2.945860205
Median Absolute Deviation (MAD)0
Skewness0.01960383666
Sum564580
Variance0.7653299252
MonotocityNot monotonic
2020-12-02T12:23:53.455560image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
311062757.7%
 
23283817.1%
 
42611613.6%
 
1119496.2%
 
5101225.3%
 
ValueCountFrequency (%) 
1119496.2%
 
23283817.1%
 
311062757.7%
 
42611613.6%
 
5101225.3%
 
ValueCountFrequency (%) 
5101225.3%
 
42611613.6%
 
311062757.7%
 
23283817.1%
 
1119496.2%
 

KBA13_ALTERHALTER_61
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.198943919
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2020-12-02T12:23:53.578586image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8888968593
Coefficient of variation (CV)0.2778719733
Kurtosis0.426135403
Mean3.198943919
Median Absolute Deviation (MAD)0
Skewness0.1761624135
Sum613084
Variance0.7901376265
MonotocityNot monotonic
2020-12-02T12:23:53.685818image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
310914857.0%
 
43465218.1%
 
22234811.7%
 
51920810.0%
 
162963.3%
 
ValueCountFrequency (%) 
162963.3%
 
22234811.7%
 
310914857.0%
 
43465218.1%
 
51920810.0%
 
ValueCountFrequency (%) 
51920810.0%
 
43465218.1%
 
310914857.0%
 
22234811.7%
 
162963.3%
 

KBA13_ANTG1
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.2972784
Minimum0
Maximum4
Zeros532
Zeros (%)0.3%
Memory size1.5 MiB
2020-12-02T12:23:53.789940image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median2
Q33
95-th percentile4
Maximum4
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7560048813
Coefficient of variation (CV)0.3290871847
Kurtosis0.1860596402
Mean2.2972784
Median Absolute Deviation (MAD)0
Skewness0.421402263
Sum440278
Variance0.5715433805
MonotocityNot monotonic
2020-12-02T12:23:53.891237image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
210869356.7%
 
34927325.7%
 
11918110.0%
 
4139737.3%
 
05320.3%
 
ValueCountFrequency (%) 
05320.3%
 
11918110.0%
 
210869356.7%
 
34927325.7%
 
4139737.3%
 
ValueCountFrequency (%) 
4139737.3%
 
34927325.7%
 
210869356.7%
 
11918110.0%
 
05320.3%
 

KBA13_ANTG2
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.819146161
Minimum0
Maximum4
Zeros941
Zeros (%)0.5%
Memory size1.5 MiB
2020-12-02T12:23:54.003094image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median3
Q33
95-th percentile4
Maximum4
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7373239824
Coefficient of variation (CV)0.2615415946
Kurtosis1.021375616
Mean2.819146161
Median Absolute Deviation (MAD)0
Skewness-0.707480748
Sum540295
Variance0.543646655
MonotocityNot monotonic
2020-12-02T12:23:54.099933image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
311610560.6%
 
23953020.6%
 
42594813.5%
 
191284.8%
 
09410.5%
 
ValueCountFrequency (%) 
09410.5%
 
191284.8%
 
23953020.6%
 
311610560.6%
 
42594813.5%
 
ValueCountFrequency (%) 
42594813.5%
 
311610560.6%
 
23953020.6%
 
191284.8%
 
09410.5%
 

KBA13_ANTG3
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.5 MiB
1
100864 
2
47973 
0
25498 
3
17317 
ValueCountFrequency (%) 
110086452.6%
 
24797325.0%
 
02549813.3%
 
3173179.0%
 
2020-12-02T12:23:54.216321image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

Overview of Unicode Properties

Unique unicode characters5
Unique unicode categories2 ?
Unique unicode scripts1 ?
Unique unicode blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
021715037.8%
 
.19165233.3%
 
110086417.5%
 
2479738.3%
 
3173173.0%
 

Most occurring categories

ValueCountFrequency (%) 
Decimal Number38330466.7%
 
Other Punctuation19165233.3%
 

Most frequent Decimal Number characters

ValueCountFrequency (%) 
021715056.7%
 
110086426.3%
 
24797312.5%
 
3173174.5%
 

Most frequent Other Punctuation characters

ValueCountFrequency (%) 
.191652100.0%
 

Most occurring scripts

ValueCountFrequency (%) 
Common574956100.0%
 

Most frequent Common characters

ValueCountFrequency (%) 
021715037.8%
 
.19165233.3%
 
110086417.5%
 
2479738.3%
 
3173173.0%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII574956100.0%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
021715037.8%
 
.19165233.3%
 
110086417.5%
 
2479738.3%
 
3173173.0%
 

KBA13_ANTG4
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.5 MiB
0
130257 
1
49804 
2
 
11591
ValueCountFrequency (%) 
013025768.0%
 
14980426.0%
 
2115916.0%
 
2020-12-02T12:23:54.339216image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

Overview of Unicode Properties

Unique unicode characters4
Unique unicode categories2 ?
Unique unicode scripts1 ?
Unique unicode blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
032190956.0%
 
.19165233.3%
 
1498048.7%
 
2115912.0%
 

Most occurring categories

ValueCountFrequency (%) 
Decimal Number38330466.7%
 
Other Punctuation19165233.3%
 

Most frequent Decimal Number characters

ValueCountFrequency (%) 
032190984.0%
 
14980413.0%
 
2115913.0%
 

Most frequent Other Punctuation characters

ValueCountFrequency (%) 
.191652100.0%
 

Most occurring scripts

ValueCountFrequency (%) 
Common574956100.0%
 

Most frequent Common characters

ValueCountFrequency (%) 
032190956.0%
 
.19165233.3%
 
1498048.7%
 
2115912.0%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII574956100.0%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
032190956.0%
 
.19165233.3%
 
1498048.7%
 
2115912.0%
 

KBA13_ANZAHL_PKW
Real number (ℝ≥0)

Distinct1250
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean863.3007378
Minimum5
Maximum2300
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2020-12-02T12:23:54.464610image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile275
Q1489
median750
Q31400
95-th percentile1400
Maximum2300
Range2295
Interquartile range (IQR)911

Descriptive statistics

Standard deviation436.0497082
Coefficient of variation (CV)0.5050959522
Kurtosis-1.276327185
Mean863.3007378
Median Absolute Deviation (MAD)349
Skewness0.2498703651
Sum165453313
Variance190139.348
MonotocityNot monotonic
2020-12-02T12:23:54.589966image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
14005377028.1%
 
150017180.9%
 
130014130.7%
 
160012640.7%
 
17007960.4%
 
18005990.3%
 
19003320.2%
 
5233020.2%
 
4642940.2%
 
5522830.1%
 
4912770.1%
 
5362760.1%
 
5842740.1%
 
5302710.1%
 
5162700.1%
 
5102700.1%
 
5342700.1%
 
4182690.1%
 
4702660.1%
 
4832650.1%
 
5192610.1%
 
6332610.1%
 
5012580.1%
 
5432580.1%
 
5622580.1%
 
Other values (1225)12687766.2%
 
ValueCountFrequency (%) 
52< 0.1%
 
62< 0.1%
 
81< 0.1%
 
102< 0.1%
 
111< 0.1%
 
124< 0.1%
 
131< 0.1%
 
143< 0.1%
 
151< 0.1%
 
161< 0.1%
 
ValueCountFrequency (%) 
230083< 0.1%
 
220057< 0.1%
 
21001200.1%
 
20002540.1%
 
19003320.2%
 
18005990.3%
 
17007960.4%
 
160012640.7%
 
150017180.9%
 
14005377028.1%
 

KBA13_AUDI
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.16035314
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2020-12-02T12:23:54.702558image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8360808536
Coefficient of variation (CV)0.264552984
Kurtosis0.7291459031
Mean3.16035314
Median Absolute Deviation (MAD)0
Skewness0.1862021251
Sum605688
Variance0.6990311937
MonotocityNot monotonic
2020-12-02T12:23:54.823136image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
311387959.4%
 
43483818.2%
 
22256011.8%
 
5148017.7%
 
155742.9%
 
ValueCountFrequency (%) 
155742.9%
 
22256011.8%
 
311387959.4%
 
43483818.2%
 
5148017.7%
 
ValueCountFrequency (%) 
5148017.7%
 
43483818.2%
 
311387959.4%
 
22256011.8%
 
155742.9%
 

KBA13_AUTOQUOTE
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.992783796
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2020-12-02T12:23:54.938531image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median3
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8225758711
Coefficient of variation (CV)0.2748530891
Kurtosis0.9982750169
Mean2.992783796
Median Absolute Deviation (MAD)0
Skewness-0.0008774916717
Sum573573
Variance0.6766310637
MonotocityNot monotonic
2020-12-02T12:23:55.042650image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
311725861.2%
 
22842014.8%
 
42754314.4%
 
193424.9%
 
590894.7%
 
ValueCountFrequency (%) 
193424.9%
 
22842014.8%
 
311725861.2%
 
42754314.4%
 
590894.7%
 
ValueCountFrequency (%) 
590894.7%
 
42754314.4%
 
311725861.2%
 
22842014.8%
 
193424.9%
 

KBA13_BAUMAX
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.461690982
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2020-12-02T12:23:55.154084image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.104898644
Coefficient of variation (CV)0.7559044
Kurtosis4.487762591
Mean1.461690982
Median Absolute Deviation (MAD)0
Skewness2.412956864
Sum280136
Variance1.220801014
MonotocityNot monotonic
2020-12-02T12:23:55.290400image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
115524181.0%
 
2133287.0%
 
5121056.3%
 
361983.2%
 
447802.5%
 
ValueCountFrequency (%) 
115524181.0%
 
2133287.0%
 
361983.2%
 
447802.5%
 
5121056.3%
 
ValueCountFrequency (%) 
5121056.3%
 
447802.5%
 
361983.2%
 
2133287.0%
 
115524181.0%
 

KBA13_BJ_1999
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.845902991
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2020-12-02T12:23:55.407240image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8073863329
Coefficient of variation (CV)0.2837012841
Kurtosis0.9025738231
Mean2.845902991
Median Absolute Deviation (MAD)0
Skewness-0.1343421985
Sum545423
Variance0.6518726906
MonotocityNot monotonic
2020-12-02T12:23:55.507945image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
311581860.4%
 
23666319.1%
 
42128811.1%
 
1124816.5%
 
554022.8%
 
ValueCountFrequency (%) 
1124816.5%
 
23666319.1%
 
311581860.4%
 
42128811.1%
 
554022.8%
 
ValueCountFrequency (%) 
554022.8%
 
42128811.1%
 
311581860.4%
 
23666319.1%
 
1124816.5%
 

KBA13_BJ_2000
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.791945818
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2020-12-02T12:23:55.616879image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8233716535
Coefficient of variation (CV)0.2949096104
Kurtosis0.7243364888
Mean2.791945818
Median Absolute Deviation (MAD)0
Skewness-0.211948075
Sum535082
Variance0.6779408799
MonotocityNot monotonic
2020-12-02T12:23:55.711874image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
311412759.5%
 
23764619.6%
 
41964610.3%
 
1155858.1%
 
546482.4%
 
ValueCountFrequency (%) 
1155858.1%
 
23764619.6%
 
311412759.5%
 
41964610.3%
 
546482.4%
 
ValueCountFrequency (%) 
546482.4%
 
41964610.3%
 
311412759.5%
 
23764619.6%
 
1155858.1%
 

KBA13_BJ_2004
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.017970071
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2020-12-02T12:23:55.803366image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median3
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7869185224
Coefficient of variation (CV)0.2607443096
Kurtosis1.099720562
Mean3.017970071
Median Absolute Deviation (MAD)0
Skewness0.04442626427
Sum578400
Variance0.6192407609
MonotocityNot monotonic
2020-12-02T12:23:55.902031image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
311868061.9%
 
42939615.3%
 
22832014.8%
 
582204.3%
 
170363.7%
 
ValueCountFrequency (%) 
170363.7%
 
22832014.8%
 
311868061.9%
 
42939615.3%
 
582204.3%
 
ValueCountFrequency (%) 
582204.3%
 
42939615.3%
 
311868061.9%
 
22832014.8%
 
170363.7%
 

KBA13_BJ_2006
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.088081523
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2020-12-02T12:23:56.001308image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median3
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7819629996
Coefficient of variation (CV)0.253219675
Kurtosis1.049559947
Mean3.088081523
Median Absolute Deviation (MAD)0
Skewness0.126017491
Sum591837
Variance0.6114661328
MonotocityNot monotonic
2020-12-02T12:23:56.088064image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
311823561.7%
 
43331217.4%
 
22501913.1%
 
596905.1%
 
153962.8%
 
ValueCountFrequency (%) 
153962.8%
 
22501913.1%
 
311823561.7%
 
43331217.4%
 
596905.1%
 
ValueCountFrequency (%) 
596905.1%
 
43331217.4%
 
311823561.7%
 
22501913.1%
 
153962.8%
 

KBA13_BJ_2008
Real number (ℝ≥0)

ZEROS

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.779397032
Minimum0
Maximum5
Zeros19625
Zeros (%)10.2%
Memory size1.5 MiB
2020-12-02T12:23:56.187352image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.268763205
Coefficient of variation (CV)0.4564886521
Kurtosis0.4599300325
Mean2.779397032
Median Absolute Deviation (MAD)0
Skewness-0.6211650933
Sum532677
Variance1.60976007
MonotocityNot monotonic
2020-12-02T12:23:56.283248image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
310394454.2%
 
22420612.6%
 
01962510.2%
 
41950010.2%
 
5175149.1%
 
168633.6%
 
ValueCountFrequency (%) 
01962510.2%
 
168633.6%
 
22420612.6%
 
310394454.2%
 
41950010.2%
 
5175149.1%
 
ValueCountFrequency (%) 
5175149.1%
 
41950010.2%
 
310394454.2%
 
22420612.6%
 
168633.6%
 
01962510.2%
 

KBA13_BJ_2009
Real number (ℝ≥0)

ZEROS

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.775911548
Minimum0
Maximum5
Zeros16351
Zeros (%)8.5%
Memory size1.5 MiB
2020-12-02T12:23:56.373587image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.264823349
Coefficient of variation (CV)0.4556425256
Kurtosis0.2771728592
Mean2.775911548
Median Absolute Deviation (MAD)0
Skewness-0.5575096472
Sum532009
Variance1.599778103
MonotocityNot monotonic
2020-12-02T12:23:56.480621image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
310637455.5%
 
4190109.9%
 
5175989.2%
 
2165388.6%
 
0163518.5%
 
1157818.2%
 
ValueCountFrequency (%) 
0163518.5%
 
1157818.2%
 
2165388.6%
 
310637455.5%
 
4190109.9%
 
5175989.2%
 
ValueCountFrequency (%) 
5175989.2%
 
4190109.9%
 
310637455.5%
 
2165388.6%
 
1157818.2%
 
0163518.5%
 

KBA13_BMW
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.341055663
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2020-12-02T12:23:56.576551image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8376309131
Coefficient of variation (CV)0.2507084579
Kurtosis0.2945875029
Mean3.341055663
Median Absolute Deviation (MAD)0
Skewness0.354217508
Sum640320
Variance0.7016255465
MonotocityNot monotonic
2020-12-02T12:23:56.670967image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
311112558.0%
 
44028721.0%
 
52268211.8%
 
2148297.7%
 
127291.4%
 
ValueCountFrequency (%) 
127291.4%
 
2148297.7%
 
311112558.0%
 
44028721.0%
 
52268211.8%
 
ValueCountFrequency (%) 
52268211.8%
 
44028721.0%
 
311112558.0%
 
2148297.7%
 
127291.4%
 

KBA13_CCM_0_1400
Real number (ℝ≥0)

ZEROS

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.35962578
Minimum0
Maximum5
Zeros28511
Zeros (%)14.9%
Memory size1.5 MiB
2020-12-02T12:23:56.784056image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q33
95-th percentile4
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.253288795
Coefficient of variation (CV)0.5311387955
Kurtosis-0.1635786025
Mean2.35962578
Median Absolute Deviation (MAD)0
Skewness-0.5617574453
Sum452227
Variance1.570732803
MonotocityNot monotonic
2020-12-02T12:23:56.877329image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
39624850.2%
 
23709019.4%
 
02851114.9%
 
1121556.3%
 
4110925.8%
 
565563.4%
 
ValueCountFrequency (%) 
02851114.9%
 
1121556.3%
 
23709019.4%
 
39624850.2%
 
4110925.8%
 
565563.4%
 
ValueCountFrequency (%) 
565563.4%
 
4110925.8%
 
39624850.2%
 
23709019.4%
 
1121556.3%
 
02851114.9%
 

KBA13_CCM_1000
Real number (ℝ≥0)

ZEROS

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.44967441
Minimum0
Maximum5
Zeros19982
Zeros (%)10.4%
Memory size1.5 MiB
2020-12-02T12:23:56.966005image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q33
95-th percentile4
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.234574713
Coefficient of variation (CV)0.5039750214
Kurtosis-0.1775989286
Mean2.44967441
Median Absolute Deviation (MAD)0
Skewness-0.4909279485
Sum469485
Variance1.524174722
MonotocityNot monotonic
2020-12-02T12:23:57.060440image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
310281553.6%
 
12576113.4%
 
22257811.8%
 
01998210.4%
 
4124576.5%
 
580594.2%
 
ValueCountFrequency (%) 
01998210.4%
 
12576113.4%
 
22257811.8%
 
310281553.6%
 
4124576.5%
 
580594.2%
 
ValueCountFrequency (%) 
580594.2%
 
4124576.5%
 
310281553.6%
 
22257811.8%
 
12576113.4%
 
01998210.4%
 

KBA13_CCM_1200
Real number (ℝ≥0)

ZEROS

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.375753971
Minimum0
Maximum5
Zeros29378
Zeros (%)15.3%
Memory size1.5 MiB
2020-12-02T12:23:57.142055image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q33
95-th percentile4
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.280650951
Coefficient of variation (CV)0.5390503255
Kurtosis-0.2467735816
Mean2.375753971
Median Absolute Deviation (MAD)0
Skewness-0.5619578108
Sum455318
Variance1.640066859
MonotocityNot monotonic
2020-12-02T12:23:57.241059image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
39865051.5%
 
23127516.3%
 
02937815.3%
 
1132266.9%
 
4120236.3%
 
571003.7%
 
ValueCountFrequency (%) 
02937815.3%
 
1132266.9%
 
23127516.3%
 
39865051.5%
 
4120236.3%
 
571003.7%
 
ValueCountFrequency (%) 
571003.7%
 
4120236.3%
 
39865051.5%
 
23127516.3%
 
1132266.9%
 
02937815.3%
 

KBA13_CCM_1400
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.905813662
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2020-12-02T12:23:57.352932image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median3
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8005222714
Coefficient of variation (CV)0.2754898849
Kurtosis0.9495121439
Mean2.905813662
Median Absolute Deviation (MAD)0
Skewness-0.04985793854
Sum556905
Variance0.640835907
MonotocityNot monotonic
2020-12-02T12:23:57.449278image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
311581660.4%
 
23521118.4%
 
42439812.7%
 
199235.2%
 
563043.3%
 
ValueCountFrequency (%) 
199235.2%
 
23521118.4%
 
311581660.4%
 
42439812.7%
 
563043.3%
 
ValueCountFrequency (%) 
563043.3%
 
42439812.7%
 
311581660.4%
 
23521118.4%
 
199235.2%
 

KBA13_CCM_1401_2500
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.95505917
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2020-12-02T12:23:57.561091image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median3
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7871499446
Coefficient of variation (CV)0.2663736661
Kurtosis1.024990104
Mean2.95505917
Median Absolute Deviation (MAD)0
Skewness-0.197533195
Sum566343
Variance0.6196050353
MonotocityNot monotonic
2020-12-02T12:23:57.655094image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
311795861.5%
 
42928015.3%
 
22926715.3%
 
197305.1%
 
554172.8%
 
ValueCountFrequency (%) 
197305.1%
 
22926715.3%
 
311795861.5%
 
42928015.3%
 
554172.8%
 
ValueCountFrequency (%) 
554172.8%
 
42928015.3%
 
311795861.5%
 
22926715.3%
 
197305.1%
 

KBA13_CCM_1500
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.156241521
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2020-12-02T12:23:57.757848image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.384939277
Coefficient of variation (CV)0.6422932048
Kurtosis-1.127062838
Mean2.156241521
Median Absolute Deviation (MAD)0
Skewness0.6543711981
Sum413248
Variance1.918056801
MonotocityNot monotonic
2020-12-02T12:23:57.850946image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
110254453.5%
 
43637519.0%
 
32749114.3%
 
2144937.6%
 
5107495.6%
 
ValueCountFrequency (%) 
110254453.5%
 
2144937.6%
 
32749114.3%
 
43637519.0%
 
5107495.6%
 
ValueCountFrequency (%) 
5107495.6%
 
43637519.0%
 
32749114.3%
 
2144937.6%
 
110254453.5%
 

KBA13_CCM_1600
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.958075053
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2020-12-02T12:23:57.946356image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median3
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.783503005
Coefficient of variation (CV)0.2648692109
Kurtosis1.055785171
Mean2.958075053
Median Absolute Deviation (MAD)0
Skewness0.05177521741
Sum566921
Variance0.6138769589
MonotocityNot monotonic
2020-12-02T12:23:58.036140image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
311750761.3%
 
23344917.5%
 
42608213.6%
 
174743.9%
 
571403.7%
 
ValueCountFrequency (%) 
174743.9%
 
23344917.5%
 
311750761.3%
 
42608213.6%
 
571403.7%
 
ValueCountFrequency (%) 
571403.7%
 
42608213.6%
 
311750761.3%
 
23344917.5%
 
174743.9%
 

KBA13_CCM_1800
Real number (ℝ≥0)

ZEROS

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.534609605
Minimum0
Maximum5
Zeros24878
Zeros (%)13.0%
Memory size1.5 MiB
2020-12-02T12:23:58.124081image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.254555717
Coefficient of variation (CV)0.4949700004
Kurtosis0.1807764265
Mean2.534609605
Median Absolute Deviation (MAD)0
Skewness-0.6252589559
Sum485763
Variance1.573910047
MonotocityNot monotonic
2020-12-02T12:23:58.219288image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
310181353.1%
 
23224416.8%
 
02487813.0%
 
4146217.6%
 
598145.1%
 
182824.3%
 
ValueCountFrequency (%) 
02487813.0%
 
182824.3%
 
23224416.8%
 
310181353.1%
 
4146217.6%
 
598145.1%
 
ValueCountFrequency (%) 
598145.1%
 
4146217.6%
 
310181353.1%
 
23224416.8%
 
182824.3%
 
02487813.0%
 

KBA13_CCM_2000
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.167866758
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2020-12-02T12:23:58.304924image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7916824459
Coefficient of variation (CV)0.2499102728
Kurtosis0.8276535099
Mean3.167866758
Median Absolute Deviation (MAD)0
Skewness0.269910568
Sum607128
Variance0.6267610951
MonotocityNot monotonic
2020-12-02T12:23:58.405046image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
311621760.6%
 
43630718.9%
 
22243311.7%
 
5129226.7%
 
137732.0%
 
ValueCountFrequency (%) 
137732.0%
 
22243311.7%
 
311621760.6%
 
43630718.9%
 
5129226.7%
 
ValueCountFrequency (%) 
5129226.7%
 
43630718.9%
 
311621760.6%
 
22243311.7%
 
137732.0%
 

KBA13_CCM_2500
Real number (ℝ≥0)

ZEROS

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.775274978
Minimum0
Maximum5
Zeros15780
Zeros (%)8.2%
Memory size1.5 MiB
2020-12-02T12:23:58.499712image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.243558454
Coefficient of variation (CV)0.4480847715
Kurtosis0.3702537879
Mean2.775274978
Median Absolute Deviation (MAD)0
Skewness-0.5439381157
Sum531887
Variance1.546437629
MonotocityNot monotonic
2020-12-02T12:23:58.586907image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
310507154.8%
 
22094810.9%
 
4187759.8%
 
5171508.9%
 
0157808.2%
 
1139287.3%
 
ValueCountFrequency (%) 
0157808.2%
 
1139287.3%
 
22094810.9%
 
310507154.8%
 
4187759.8%
 
5171508.9%
 
ValueCountFrequency (%) 
5171508.9%
 
4187759.8%
 
310507154.8%
 
22094810.9%
 
1139287.3%
 
0157808.2%
 

KBA13_CCM_2501
Real number (ℝ≥0)

ZEROS

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.837846722
Minimum0
Maximum5
Zeros14392
Zeros (%)7.5%
Memory size1.5 MiB
2020-12-02T12:23:58.672025image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median3
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.248427561
Coefficient of variation (CV)0.4399207157
Kurtosis0.385928249
Mean2.837846722
Median Absolute Deviation (MAD)0
Skewness-0.521420148
Sum543879
Variance1.558571375
MonotocityNot monotonic
2020-12-02T12:23:58.757100image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
310547055.0%
 
52006410.5%
 
4188879.9%
 
2187629.8%
 
0143927.5%
 
1140777.3%
 
ValueCountFrequency (%) 
0143927.5%
 
1140777.3%
 
2187629.8%
 
310547055.0%
 
4188879.9%
 
52006410.5%
 
ValueCountFrequency (%) 
52006410.5%
 
4188879.9%
 
310547055.0%
 
2187629.8%
 
1140777.3%
 
0143927.5%
 

KBA13_CCM_3000
Real number (ℝ≥0)

ZEROS

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.868595162
Minimum0
Maximum5
Zeros9117
Zeros (%)4.8%
Memory size1.5 MiB
2020-12-02T12:23:58.843728image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q13
median3
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.17516549
Coefficient of variation (CV)0.4096658552
Kurtosis0.4700544753
Mean2.868595162
Median Absolute Deviation (MAD)0
Skewness-0.424920125
Sum549772
Variance1.381013929
MonotocityNot monotonic
2020-12-02T12:23:58.933349image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
310682655.7%
 
21957710.2%
 
41939210.1%
 
5189589.9%
 
1177829.3%
 
091174.8%
 
ValueCountFrequency (%) 
091174.8%
 
1177829.3%
 
21957710.2%
 
310682655.7%
 
41939210.1%
 
5189589.9%
 
ValueCountFrequency (%) 
5189589.9%
 
41939210.1%
 
310682655.7%
 
21957710.2%
 
1177829.3%
 
091174.8%
 

KBA13_CCM_3001
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.371063177
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2020-12-02T12:23:59.015615image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.52888956
Coefficient of variation (CV)0.6448118188
Kurtosis-1.474274296
Mean2.371063177
Median Absolute Deviation (MAD)0
Skewness0.4180671475
Sum454419
Variance2.337503285
MonotocityNot monotonic
2020-12-02T12:23:59.112582image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
110078752.6%
 
44151421.7%
 
32954615.4%
 
51977610.3%
 
229< 0.1%
 
ValueCountFrequency (%) 
110078752.6%
 
229< 0.1%
 
32954615.4%
 
44151421.7%
 
51977610.3%
 
ValueCountFrequency (%) 
51977610.3%
 
44151421.7%
 
32954615.4%
 
229< 0.1%
 
110078752.6%
 

KBA13_FAB_ASIEN
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.812018659
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2020-12-02T12:23:59.211275image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8186449962
Coefficient of variation (CV)0.2911236003
Kurtosis0.8296740384
Mean2.812018659
Median Absolute Deviation (MAD)0
Skewness-0.1534493389
Sum538929
Variance0.6701796298
MonotocityNot monotonic
2020-12-02T12:23:59.318465image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
311494860.0%
 
23764519.6%
 
41955610.2%
 
1142367.4%
 
552672.7%
 
ValueCountFrequency (%) 
1142367.4%
 
23764519.6%
 
311494860.0%
 
41955610.2%
 
552672.7%
 
ValueCountFrequency (%) 
552672.7%
 
41955610.2%
 
311494860.0%
 
23764519.6%
 
1142367.4%
 

KBA13_FAB_SONSTIGE
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.85594202
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2020-12-02T12:23:59.436894image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median3
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8101786813
Coefficient of variation (CV)0.2836817679
Kurtosis0.97083341
Mean2.85594202
Median Absolute Deviation (MAD)0
Skewness-0.118208779
Sum547347
Variance0.6563894956
MonotocityNot monotonic
2020-12-02T12:23:59.532238image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
311707461.1%
 
23533118.4%
 
42084810.9%
 
1124816.5%
 
559183.1%
 
ValueCountFrequency (%) 
1124816.5%
 
23533118.4%
 
311707461.1%
 
42084810.9%
 
559183.1%
 
ValueCountFrequency (%) 
559183.1%
 
42084810.9%
 
311707461.1%
 
23533118.4%
 
1124816.5%
 

KBA13_FIAT
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.177738818
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2020-12-02T12:23:59.645768image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8266523714
Coefficient of variation (CV)0.2601385509
Kurtosis0.6942488699
Mean3.177738818
Median Absolute Deviation (MAD)0
Skewness0.2724591201
Sum609020
Variance0.6833541432
MonotocityNot monotonic
2020-12-02T12:23:59.742563image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
311452759.8%
 
43455518.0%
 
22260511.8%
 
5155118.1%
 
144542.3%
 
ValueCountFrequency (%) 
144542.3%
 
22260511.8%
 
311452759.8%
 
43455518.0%
 
5155118.1%
 
ValueCountFrequency (%) 
5155118.1%
 
43455518.0%
 
311452759.8%
 
22260511.8%
 
144542.3%
 

KBA13_FORD
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.895205894
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2020-12-02T12:23:59.853213image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9197444865
Coefficient of variation (CV)0.3176784381
Kurtosis0.4893656921
Mean2.895205894
Median Absolute Deviation (MAD)0
Skewness0.03183721578
Sum554872
Variance0.8459299204
MonotocityNot monotonic
2020-12-02T12:23:59.955072image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
310818156.4%
 
23392517.7%
 
42262711.8%
 
1156568.2%
 
5112635.9%
 
ValueCountFrequency (%) 
1156568.2%
 
23392517.7%
 
310818156.4%
 
42262711.8%
 
5112635.9%
 
ValueCountFrequency (%) 
5112635.9%
 
42262711.8%
 
310818156.4%
 
23392517.7%
 
1156568.2%
 

KBA13_GBZ
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.48594849
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2020-12-02T12:24:00.058277image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9168120413
Coefficient of variation (CV)0.2630021769
Kurtosis-0.2298551958
Mean3.48594849
Median Absolute Deviation (MAD)0
Skewness0.2053507735
Sum668089
Variance0.840544319
MonotocityNot monotonic
2020-12-02T12:24:00.148970image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
310195853.2%
 
43963220.7%
 
53561218.6%
 
2111775.8%
 
132731.7%
 
ValueCountFrequency (%) 
132731.7%
 
2111775.8%
 
310195853.2%
 
43963220.7%
 
53561218.6%
 
ValueCountFrequency (%) 
53561218.6%
 
43963220.7%
 
310195853.2%
 
2111775.8%
 
132731.7%
 

KBA13_HALTER_20
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.831934965
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2020-12-02T12:24:00.261511image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7968827547
Coefficient of variation (CV)0.2813916154
Kurtosis0.9275690311
Mean2.831934965
Median Absolute Deviation (MAD)0
Skewness-0.1157984645
Sum542746
Variance0.6350221248
MonotocityNot monotonic
2020-12-02T12:24:00.361487image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
311572260.4%
 
23865720.2%
 
42021110.5%
 
1119726.2%
 
550902.7%
 
ValueCountFrequency (%) 
1119726.2%
 
23865720.2%
 
311572260.4%
 
42021110.5%
 
550902.7%
 
ValueCountFrequency (%) 
550902.7%
 
42021110.5%
 
311572260.4%
 
23865720.2%
 
1119726.2%
 

KBA13_HALTER_25
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.718411496
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2020-12-02T12:24:00.465186image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8155028288
Coefficient of variation (CV)0.2999924147
Kurtosis0.6504566047
Mean2.718411496
Median Absolute Deviation (MAD)0
Skewness-0.3196936442
Sum520989
Variance0.6650448638
MonotocityNot monotonic
2020-12-02T12:24:00.557836image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
311550960.3%
 
23876820.2%
 
1186869.7%
 
4152057.9%
 
534841.8%
 
ValueCountFrequency (%) 
1186869.7%
 
23876820.2%
 
311550960.3%
 
4152057.9%
 
534841.8%
 
ValueCountFrequency (%) 
534841.8%
 
4152057.9%
 
311550960.3%
 
23876820.2%
 
1186869.7%
 

KBA13_HALTER_30
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.816693799
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2020-12-02T12:24:00.650636image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8720386417
Coefficient of variation (CV)0.3095965355
Kurtosis0.7055380525
Mean2.816693799
Median Absolute Deviation (MAD)0
Skewness-0.0644321147
Sum539825
Variance0.7604513927
MonotocityNot monotonic
2020-12-02T12:24:00.740928image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
311299559.0%
 
23557618.6%
 
4185739.7%
 
1167868.8%
 
577224.0%
 
ValueCountFrequency (%) 
1167868.8%
 
23557618.6%
 
311299559.0%
 
4185739.7%
 
577224.0%
 
ValueCountFrequency (%) 
577224.0%
 
4185739.7%
 
311299559.0%
 
23557618.6%
 
1167868.8%
 

KBA13_HALTER_35
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.940590236
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2020-12-02T12:24:00.840993image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median3
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.9160559331
Coefficient of variation (CV)0.3115211095
Kurtosis0.4772946484
Mean2.940590236
Median Absolute Deviation (MAD)0
Skewness-0.02116419793
Sum563570
Variance0.8391584726
MonotocityNot monotonic
2020-12-02T12:24:00.927729image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
310813256.4%
 
23105016.2%
 
42647613.8%
 
1147007.7%
 
5112945.9%
 
ValueCountFrequency (%) 
1147007.7%
 
23105016.2%
 
310813256.4%
 
42647613.8%
 
5112945.9%
 
ValueCountFrequency (%) 
5112945.9%
 
42647613.8%
 
310813256.4%
 
23105016.2%
 
1147007.7%
 

KBA13_HALTER_40
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.02028677
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2020-12-02T12:24:01.019539image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median3
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8767762153
Coefficient of variation (CV)0.2902956845
Kurtosis0.6738059183
Mean3.02028677
Median Absolute Deviation (MAD)0
Skewness0.03382976922
Sum578844
Variance0.7687365317
MonotocityNot monotonic
2020-12-02T12:24:01.109939image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
311159158.2%
 
42917515.2%
 
22843714.8%
 
5120126.3%
 
1104375.4%
 
ValueCountFrequency (%) 
1104375.4%
 
22843714.8%
 
311159158.2%
 
42917515.2%
 
5120126.3%
 
ValueCountFrequency (%) 
5120126.3%
 
42917515.2%
 
311159158.2%
 
22843714.8%
 
1104375.4%
 

KBA13_HALTER_45
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.065952873
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2020-12-02T12:24:01.208788image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median3
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8659413678
Coefficient of variation (CV)0.2824379251
Kurtosis0.694579449
Mean3.065952873
Median Absolute Deviation (MAD)0
Skewness0.08304725433
Sum587596
Variance0.7498544526
MonotocityNot monotonic
2020-12-02T12:24:01.291537image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
311212458.5%
 
43088416.1%
 
22697214.1%
 
5130186.8%
 
186544.5%
 
ValueCountFrequency (%) 
186544.5%
 
22697214.1%
 
311212458.5%
 
43088416.1%
 
5130186.8%
 
ValueCountFrequency (%) 
5130186.8%
 
43088416.1%
 
311212458.5%
 
22697214.1%
 
186544.5%
 

KBA13_HALTER_50
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.928317993
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2020-12-02T12:24:01.384081image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median3
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8773773943
Coefficient of variation (CV)0.2996182096
Kurtosis0.6350138791
Mean2.928317993
Median Absolute Deviation (MAD)0
Skewness-0.01929403942
Sum561218
Variance0.7697910921
MonotocityNot monotonic
2020-12-02T12:24:01.473578image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
311052857.7%
 
23277317.1%
 
42588713.5%
 
1129456.8%
 
595195.0%
 
ValueCountFrequency (%) 
1129456.8%
 
23277317.1%
 
311052857.7%
 
42588713.5%
 
595195.0%
 
ValueCountFrequency (%) 
595195.0%
 
42588713.5%
 
311052857.7%
 
23277317.1%
 
1129456.8%
 

KBA13_HALTER_55
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.987983428
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2020-12-02T12:24:01.573010image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median3
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8815958913
Coefficient of variation (CV)0.2950471154
Kurtosis0.6431453006
Mean2.987983428
Median Absolute Deviation (MAD)0
Skewness0.04510562651
Sum572653
Variance0.7772113155
MonotocityNot monotonic
2020-12-02T12:24:01.664788image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
311082557.8%
 
23068216.0%
 
42742714.3%
 
5115976.1%
 
1111215.8%
 
ValueCountFrequency (%) 
1111215.8%
 
23068216.0%
 
311082557.8%
 
42742714.3%
 
5115976.1%
 
ValueCountFrequency (%) 
5115976.1%
 
42742714.3%
 
311082557.8%
 
23068216.0%
 
1111215.8%
 

KBA13_HALTER_60
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.989162649
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2020-12-02T12:24:01.763833image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median3
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8745218992
Coefficient of variation (CV)0.2925641733
Kurtosis0.6860711798
Mean2.989162649
Median Absolute Deviation (MAD)0
Skewness0.02771594613
Sum572879
Variance0.7647885522
MonotocityNot monotonic
2020-12-02T12:24:01.855105image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
311169358.3%
 
23005615.7%
 
42769114.4%
 
5111785.8%
 
1110345.8%
 
ValueCountFrequency (%) 
1110345.8%
 
23005615.7%
 
311169358.3%
 
42769114.4%
 
5111785.8%
 
ValueCountFrequency (%) 
5111785.8%
 
42769114.4%
 
311169358.3%
 
23005615.7%
 
1110345.8%
 

KBA13_HALTER_65
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.246201448
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2020-12-02T12:24:01.958815image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8359683784
Coefficient of variation (CV)0.2575220274
Kurtosis0.563970836
Mean3.246201448
Median Absolute Deviation (MAD)0
Skewness0.2809190219
Sum622141
Variance0.6988431297
MonotocityNot monotonic
2020-12-02T12:24:02.044873image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
311320559.1%
 
43729019.5%
 
2187899.8%
 
5183559.6%
 
140132.1%
 
ValueCountFrequency (%) 
140132.1%
 
2187899.8%
 
311320559.1%
 
43729019.5%
 
5183559.6%
 
ValueCountFrequency (%) 
5183559.6%
 
43729019.5%
 
311320559.1%
 
2187899.8%
 
140132.1%
 

KBA13_HALTER_66
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.165315259
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2020-12-02T12:24:02.144642image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9035411688
Coefficient of variation (CV)0.2854506091
Kurtosis0.4137927198
Mean3.165315259
Median Absolute Deviation (MAD)0
Skewness0.1463190828
Sum606639
Variance0.8163866437
MonotocityNot monotonic
2020-12-02T12:24:02.242783image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
310840956.6%
 
43314317.3%
 
22394812.5%
 
5186989.8%
 
174543.9%
 
ValueCountFrequency (%) 
174543.9%
 
22394812.5%
 
310840956.6%
 
43314317.3%
 
5186989.8%
 
ValueCountFrequency (%) 
5186989.8%
 
43314317.3%
 
310840956.6%
 
22394812.5%
 
174543.9%
 

KBA13_HERST_ASIEN
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.824238724
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2020-12-02T12:24:02.340506image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8225678197
Coefficient of variation (CV)0.2912529357
Kurtosis0.7944538147
Mean2.824238724
Median Absolute Deviation (MAD)0
Skewness-0.1685197112
Sum541271
Variance0.676617818
MonotocityNot monotonic
2020-12-02T12:24:02.428478image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
311460259.8%
 
23665919.1%
 
42087610.9%
 
1142337.4%
 
552822.8%
 
ValueCountFrequency (%) 
1142337.4%
 
23665919.1%
 
311460259.8%
 
42087610.9%
 
552822.8%
 
ValueCountFrequency (%) 
552822.8%
 
42087610.9%
 
311460259.8%
 
23665919.1%
 
1142337.4%
 

KBA13_HERST_AUDI_VW
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.040677895
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2020-12-02T12:24:02.533004image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median3
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8340965684
Coefficient of variation (CV)0.2743127017
Kurtosis0.9078392097
Mean3.040677895
Median Absolute Deviation (MAD)0
Skewness0.0246711599
Sum582752
Variance0.6957170854
MonotocityNot monotonic
2020-12-02T12:24:02.622898image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
311565460.3%
 
43041615.9%
 
22636413.8%
 
5105455.5%
 
186734.5%
 
ValueCountFrequency (%) 
186734.5%
 
22636413.8%
 
311565460.3%
 
43041615.9%
 
5105455.5%
 
ValueCountFrequency (%) 
5105455.5%
 
43041615.9%
 
311565460.3%
 
22636413.8%
 
186734.5%
 

KBA13_HERST_BMW_BENZ
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.363017344
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2020-12-02T12:24:02.720764image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8322927374
Coefficient of variation (CV)0.2474839266
Kurtosis0.2915564339
Mean3.363017344
Median Absolute Deviation (MAD)0
Skewness0.3659717323
Sum644529
Variance0.6927112007
MonotocityNot monotonic
2020-12-02T12:24:02.814727image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
311156258.2%
 
44107521.4%
 
52337212.2%
 
2130406.8%
 
126031.4%
 
ValueCountFrequency (%) 
126031.4%
 
2130406.8%
 
311156258.2%
 
44107521.4%
 
52337212.2%
 
ValueCountFrequency (%) 
52337212.2%
 
44107521.4%
 
311156258.2%
 
2130406.8%
 
126031.4%
 

KBA13_HERST_EUROPA
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.03627408
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2020-12-02T12:24:02.909791image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median3
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8808276079
Coefficient of variation (CV)0.2901014812
Kurtosis0.6508823226
Mean3.03627408
Median Absolute Deviation (MAD)0
Skewness0.08476342877
Sum581908
Variance0.7758572749
MonotocityNot monotonic
2020-12-02T12:24:03.001891image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
311146058.2%
 
42872315.0%
 
22855114.9%
 
5131546.9%
 
197645.1%
 
ValueCountFrequency (%) 
197645.1%
 
22855114.9%
 
311146058.2%
 
42872315.0%
 
5131546.9%
 
ValueCountFrequency (%) 
5131546.9%
 
42872315.0%
 
311146058.2%
 
22855114.9%
 
197645.1%
 

KBA13_HERST_FORD_OPEL
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.863006908
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2020-12-02T12:24:03.103011image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9408362074
Coefficient of variation (CV)0.3286182107
Kurtosis0.3312866453
Mean2.863006908
Median Absolute Deviation (MAD)0
Skewness-0.03419675715
Sum548701
Variance0.8851727691
MonotocityNot monotonic
2020-12-02T12:24:03.187049image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
310569955.2%
 
23332017.4%
 
42353712.3%
 
1186669.7%
 
5104305.4%
 
ValueCountFrequency (%) 
1186669.7%
 
23332017.4%
 
310569955.2%
 
42353712.3%
 
5104305.4%
 
ValueCountFrequency (%) 
5104305.4%
 
42353712.3%
 
310569955.2%
 
23332017.4%
 
1186669.7%
 

KBA13_HERST_SONST
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.85594202
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2020-12-02T12:24:03.277134image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median3
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8101786813
Coefficient of variation (CV)0.2836817679
Kurtosis0.97083341
Mean2.85594202
Median Absolute Deviation (MAD)0
Skewness-0.118208779
Sum547347
Variance0.6563894956
MonotocityNot monotonic
2020-12-02T12:24:03.368207image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
311707461.1%
 
23533118.4%
 
42084810.9%
 
1124816.5%
 
559183.1%
 
ValueCountFrequency (%) 
1124816.5%
 
23533118.4%
 
311707461.1%
 
42084810.9%
 
559183.1%
 
ValueCountFrequency (%) 
559183.1%
 
42084810.9%
 
311707461.1%
 
23533118.4%
 
1124816.5%
 

KBA13_HHZ
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.436108154
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2020-12-02T12:24:03.467781image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8430806243
Coefficient of variation (CV)0.245359164
Kurtosis-0.1325511544
Mean3.436108154
Median Absolute Deviation (MAD)0
Skewness0.5125607725
Sum658537
Variance0.710784939
MonotocityNot monotonic
2020-12-02T12:24:03.552960image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
311148758.2%
 
43822119.9%
 
52953515.4%
 
2111085.8%
 
113010.7%
 
ValueCountFrequency (%) 
113010.7%
 
2111085.8%
 
311148758.2%
 
43822119.9%
 
52953515.4%
 
ValueCountFrequency (%) 
52953515.4%
 
43822119.9%
 
311148758.2%
 
2111085.8%
 
113010.7%
 

KBA13_KMH_0_140
Real number (ℝ≥0)

ZEROS

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.405782356
Minimum0
Maximum5
Zeros21541
Zeros (%)11.2%
Memory size1.5 MiB
2020-12-02T12:24:03.647704image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.352926082
Coefficient of variation (CV)0.5623642882
Kurtosis-0.7278029458
Mean2.405782356
Median Absolute Deviation (MAD)0
Skewness-0.3245997159
Sum461073
Variance1.830408983
MonotocityNot monotonic
2020-12-02T12:24:03.745431image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
310121252.8%
 
14168021.7%
 
02154111.2%
 
4153288.0%
 
5102215.3%
 
216700.9%
 
ValueCountFrequency (%) 
02154111.2%
 
14168021.7%
 
216700.9%
 
310121252.8%
 
4153288.0%
 
5102215.3%
 
ValueCountFrequency (%) 
5102215.3%
 
4153288.0%
 
310121252.8%
 
216700.9%
 
14168021.7%
 
02154111.2%
 

KBA13_KMH_110
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.5 MiB
1
166176 
3
 
14232
2
 
11244
ValueCountFrequency (%) 
116617686.7%
 
3142327.4%
 
2112445.9%
 
2020-12-02T12:24:03.860497image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

Overview of Unicode Properties

Unique unicode characters5
Unique unicode categories2 ?
Unique unicode scripts1 ?
Unique unicode blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
.19165233.3%
 
019165233.3%
 
116617628.9%
 
3142322.5%
 
2112442.0%
 

Most occurring categories

ValueCountFrequency (%) 
Decimal Number38330466.7%
 
Other Punctuation19165233.3%
 

Most frequent Decimal Number characters

ValueCountFrequency (%) 
019165250.0%
 
116617643.4%
 
3142323.7%
 
2112442.9%
 

Most frequent Other Punctuation characters

ValueCountFrequency (%) 
.191652100.0%
 

Most occurring scripts

ValueCountFrequency (%) 
Common574956100.0%
 

Most frequent Common characters

ValueCountFrequency (%) 
.19165233.3%
 
019165233.3%
 
116617628.9%
 
3142322.5%
 
2112442.0%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII574956100.0%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
.19165233.3%
 
019165233.3%
 
116617628.9%
 
3142322.5%
 
2112442.0%
 

KBA13_KMH_140
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.200065744
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2020-12-02T12:24:03.974171image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.365590355
Coefficient of variation (CV)0.6207043396
Kurtosis-1.108944286
Mean2.200065744
Median Absolute Deviation (MAD)1
Skewness0.6134465682
Sum421647
Variance1.864837017
MonotocityNot monotonic
2020-12-02T12:24:04.065057image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
19496549.6%
 
43504418.3%
 
32986615.6%
 
22065910.8%
 
5111185.8%
 
ValueCountFrequency (%) 
19496549.6%
 
22065910.8%
 
32986615.6%
 
43504418.3%
 
5111185.8%
 
ValueCountFrequency (%) 
5111185.8%
 
43504418.3%
 
32986615.6%
 
22065910.8%
 
19496549.6%
 

KBA13_KMH_140_210
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.764771565
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2020-12-02T12:24:04.155285image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8515442505
Coefficient of variation (CV)0.3079980499
Kurtosis0.5776160135
Mean2.764771565
Median Absolute Deviation (MAD)0
Skewness-0.2369750113
Sum529874
Variance0.7251276106
MonotocityNot monotonic
2020-12-02T12:24:04.238588image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
311308959.0%
 
23606618.8%
 
4188269.8%
 
1187969.8%
 
548752.5%
 
ValueCountFrequency (%) 
1187969.8%
 
23606618.8%
 
311308959.0%
 
4188269.8%
 
548752.5%
 
ValueCountFrequency (%) 
548752.5%
 
4188269.8%
 
311308959.0%
 
23606618.8%
 
1187969.8%
 

KBA13_KMH_180
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.802527498
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2020-12-02T12:24:04.339145image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8401289139
Coefficient of variation (CV)0.2997754401
Kurtosis0.6389599613
Mean2.802527498
Median Absolute Deviation (MAD)0
Skewness-0.2228865609
Sum537110
Variance0.705816592
MonotocityNot monotonic
2020-12-02T12:24:04.440032image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
311306659.0%
 
23600718.8%
 
42119311.1%
 
1164518.6%
 
549352.6%
 
ValueCountFrequency (%) 
1164518.6%
 
23600718.8%
 
311306659.0%
 
42119311.1%
 
549352.6%
 
ValueCountFrequency (%) 
549352.6%
 
42119311.1%
 
311306659.0%
 
23600718.8%
 
1164518.6%
 

KBA13_KMH_210
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.101115564
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2020-12-02T12:24:04.540417image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median3
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7955421342
Coefficient of variation (CV)0.2565341787
Kurtosis0.9904602078
Mean3.101115564
Median Absolute Deviation (MAD)0
Skewness0.1449729624
Sum594335
Variance0.6328872873
MonotocityNot monotonic
2020-12-02T12:24:04.634596image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
311744661.3%
 
43335117.4%
 
22450612.8%
 
5108085.6%
 
155412.9%
 
ValueCountFrequency (%) 
155412.9%
 
22450612.8%
 
311744661.3%
 
43335117.4%
 
5108085.6%
 
ValueCountFrequency (%) 
5108085.6%
 
43335117.4%
 
311744661.3%
 
22450612.8%
 
155412.9%
 

KBA13_KMH_211
Real number (ℝ≥0)

ZEROS

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.813583996
Minimum0
Maximum5
Zeros20007
Zeros (%)10.4%
Memory size1.5 MiB
2020-12-02T12:24:04.735291image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.297410035
Coefficient of variation (CV)0.4611236193
Kurtosis0.3866972879
Mean2.813583996
Median Absolute Deviation (MAD)0
Skewness-0.5948744714
Sum539229
Variance1.6832728
MonotocityNot monotonic
2020-12-02T12:24:04.820133image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
310305153.8%
 
22292612.0%
 
52053910.7%
 
02000710.4%
 
4188009.8%
 
163293.3%
 
ValueCountFrequency (%) 
02000710.4%
 
163293.3%
 
22292612.0%
 
310305153.8%
 
4188009.8%
 
52053910.7%
 
ValueCountFrequency (%) 
52053910.7%
 
4188009.8%
 
310305153.8%
 
22292612.0%
 
163293.3%
 
02000710.4%
 

KBA13_KMH_250
Real number (ℝ≥0)

ZEROS

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.808924509
Minimum0
Maximum5
Zeros20125
Zeros (%)10.5%
Memory size1.5 MiB
2020-12-02T12:24:04.900960image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.297112193
Coefficient of variation (CV)0.461782504
Kurtosis0.3867905384
Mean2.808924509
Median Absolute Deviation (MAD)0
Skewness-0.5966543011
Sum538336
Variance1.682500042
MonotocityNot monotonic
2020-12-02T12:24:04.997969image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
310334453.9%
 
22283911.9%
 
52034810.6%
 
02012510.5%
 
4186309.7%
 
163663.3%
 
ValueCountFrequency (%) 
02012510.5%
 
163663.3%
 
22283911.9%
 
310334453.9%
 
4186309.7%
 
52034810.6%
 
ValueCountFrequency (%) 
52034810.6%
 
4186309.7%
 
310334453.9%
 
22283911.9%
 
163663.3%
 
02012510.5%
 

KBA13_KMH_251
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.5 MiB
1
166604 
3
22793 
2
 
2255
ValueCountFrequency (%) 
116660486.9%
 
32279311.9%
 
222551.2%
 
2020-12-02T12:24:05.108038image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

Overview of Unicode Properties

Unique unicode characters5
Unique unicode categories2 ?
Unique unicode scripts1 ?
Unique unicode blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
.19165233.3%
 
019165233.3%
 
116660429.0%
 
3227934.0%
 
222550.4%
 

Most occurring categories

ValueCountFrequency (%) 
Decimal Number38330466.7%
 
Other Punctuation19165233.3%
 

Most frequent Decimal Number characters

ValueCountFrequency (%) 
019165250.0%
 
116660443.5%
 
3227935.9%
 
222550.6%
 

Most frequent Other Punctuation characters

ValueCountFrequency (%) 
.191652100.0%
 

Most occurring scripts

ValueCountFrequency (%) 
Common574956100.0%
 

Most frequent Common characters

ValueCountFrequency (%) 
.19165233.3%
 
019165233.3%
 
116660429.0%
 
3227934.0%
 
222550.4%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII574956100.0%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
.19165233.3%
 
019165233.3%
 
116660429.0%
 
3227934.0%
 
222550.4%
 

KBA13_KRSAQUOT
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.997385887
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2020-12-02T12:24:05.204698image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median3
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8519799823
Coefficient of variation (CV)0.2842410068
Kurtosis0.8019481173
Mean2.997385887
Median Absolute Deviation (MAD)0
Skewness0.02760679139
Sum574455
Variance0.7258698902
MonotocityNot monotonic
2020-12-02T12:24:05.299562image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
311372859.3%
 
22946115.4%
 
42806614.6%
 
5104225.4%
 
199755.2%
 
ValueCountFrequency (%) 
199755.2%
 
22946115.4%
 
311372859.3%
 
42806614.6%
 
5104225.4%
 
ValueCountFrequency (%) 
5104225.4%
 
42806614.6%
 
311372859.3%
 
22946115.4%
 
199755.2%
 

KBA13_KRSHERST_AUDI_VW
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.063829232
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2020-12-02T12:24:05.396437image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median3
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8421874904
Coefficient of variation (CV)0.274880689
Kurtosis0.7708053936
Mean3.063829232
Median Absolute Deviation (MAD)0
Skewness0.01615499835
Sum587189
Variance0.709279769
MonotocityNot monotonic
2020-12-02T12:24:05.482823image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
311259758.8%
 
43341817.4%
 
22641713.8%
 
5109185.7%
 
183024.3%
 
ValueCountFrequency (%) 
183024.3%
 
22641713.8%
 
311259758.8%
 
43341817.4%
 
5109185.7%
 
ValueCountFrequency (%) 
5109185.7%
 
43341817.4%
 
311259758.8%
 
22641713.8%
 
183024.3%
 

KBA13_KRSHERST_BMW_BENZ
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.19648634
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2020-12-02T12:24:05.581391image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8213599004
Coefficient of variation (CV)0.2569571126
Kurtosis0.7053280657
Mean3.19648634
Median Absolute Deviation (MAD)0
Skewness0.2994255752
Sum612613
Variance0.6746320859
MonotocityNot monotonic
2020-12-02T12:24:05.666006image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
311539160.2%
 
43491918.2%
 
22119811.1%
 
5160568.4%
 
140882.1%
 
ValueCountFrequency (%) 
140882.1%
 
22119811.1%
 
311539160.2%
 
43491918.2%
 
5160568.4%
 
ValueCountFrequency (%) 
5160568.4%
 
43491918.2%
 
311539160.2%
 
22119811.1%
 
140882.1%
 

KBA13_KRSHERST_FORD_OPEL
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.873051155
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2020-12-02T12:24:05.764757image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9091485283
Coefficient of variation (CV)0.3164400768
Kurtosis0.4587762163
Mean2.873051155
Median Absolute Deviation (MAD)0
Skewness-0.07681259662
Sum550626
Variance0.8265510465
MonotocityNot monotonic
2020-12-02T12:24:05.870104image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
310824156.5%
 
23294717.2%
 
42443512.7%
 
1169698.9%
 
590604.7%
 
ValueCountFrequency (%) 
1169698.9%
 
23294717.2%
 
310824156.5%
 
42443512.7%
 
590604.7%
 
ValueCountFrequency (%) 
590604.7%
 
42443512.7%
 
310824156.5%
 
23294717.2%
 
1169698.9%
 
Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.5 MiB
2
180657 
1
 
7132
3
 
3863
ValueCountFrequency (%) 
218065794.3%
 
171323.7%
 
338632.0%
 
2020-12-02T12:24:05.981037image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

Overview of Unicode Properties

Unique unicode characters5
Unique unicode categories2 ?
Unique unicode scripts1 ?
Unique unicode blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
.19165233.3%
 
019165233.3%
 
218065731.4%
 
171321.2%
 
338630.7%
 

Most occurring categories

ValueCountFrequency (%) 
Decimal Number38330466.7%
 
Other Punctuation19165233.3%
 

Most frequent Decimal Number characters

ValueCountFrequency (%) 
019165250.0%
 
218065747.1%
 
171321.9%
 
338631.0%
 

Most frequent Other Punctuation characters

ValueCountFrequency (%) 
.191652100.0%
 

Most occurring scripts

ValueCountFrequency (%) 
Common574956100.0%
 

Most frequent Common characters

ValueCountFrequency (%) 
.19165233.3%
 
019165233.3%
 
218065731.4%
 
171321.2%
 
338630.7%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII574956100.0%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
.19165233.3%
 
019165233.3%
 
218065731.4%
 
171321.2%
 
338630.7%
 
Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.5 MiB
2
150932 
3
22142 
1
18551 
0
 
27
ValueCountFrequency (%) 
215093278.8%
 
32214211.6%
 
1185519.7%
 
027< 0.1%
 
2020-12-02T12:24:06.093034image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

Overview of Unicode Properties

Unique unicode characters5
Unique unicode categories2 ?
Unique unicode scripts1 ?
Unique unicode blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
019167933.3%
 
.19165233.3%
 
215093226.3%
 
3221423.9%
 
1185513.2%
 

Most occurring categories

ValueCountFrequency (%) 
Decimal Number38330466.7%
 
Other Punctuation19165233.3%
 

Most frequent Decimal Number characters

ValueCountFrequency (%) 
019167950.0%
 
215093239.4%
 
3221425.8%
 
1185514.8%
 

Most frequent Other Punctuation characters

ValueCountFrequency (%) 
.191652100.0%
 

Most occurring scripts

ValueCountFrequency (%) 
Common574956100.0%
 

Most frequent Common characters

ValueCountFrequency (%) 
019167933.3%
 
.19165233.3%
 
215093226.3%
 
3221423.9%
 
1185513.2%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII574956100.0%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
019167933.3%
 
.19165233.3%
 
215093226.3%
 
3221423.9%
 
1185513.2%
 

KBA13_KRSSEG_VAN
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.5 MiB
2
142713 
1
25726 
3
23153 
0
 
60
ValueCountFrequency (%) 
214271374.5%
 
12572613.4%
 
32315312.1%
 
060< 0.1%
 
2020-12-02T12:24:06.199228image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

Overview of Unicode Properties

Unique unicode characters5
Unique unicode categories2 ?
Unique unicode scripts1 ?
Unique unicode blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
019171233.3%
 
.19165233.3%
 
214271324.8%
 
1257264.5%
 
3231534.0%
 

Most occurring categories

ValueCountFrequency (%) 
Decimal Number38330466.7%
 
Other Punctuation19165233.3%
 

Most frequent Decimal Number characters

ValueCountFrequency (%) 
019171250.0%
 
214271337.2%
 
1257266.7%
 
3231536.0%
 

Most frequent Other Punctuation characters

ValueCountFrequency (%) 
.191652100.0%
 

Most occurring scripts

ValueCountFrequency (%) 
Common574956100.0%
 

Most frequent Common characters

ValueCountFrequency (%) 
019171233.3%
 
.19165233.3%
 
214271324.8%
 
1257264.5%
 
3231534.0%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII574956100.0%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
019171233.3%
 
.19165233.3%
 
214271324.8%
 
1257264.5%
 
3231534.0%
 

KBA13_KRSZUL_NEU
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.5 MiB
2
122841 
3
35741 
1
30394 
0
 
2676
ValueCountFrequency (%) 
212284164.1%
 
33574118.6%
 
13039415.9%
 
026761.4%
 
2020-12-02T12:24:06.305887image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

Overview of Unicode Properties

Unique unicode characters5
Unique unicode categories2 ?
Unique unicode scripts1 ?
Unique unicode blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
019432833.8%
 
.19165233.3%
 
212284121.4%
 
3357416.2%
 
1303945.3%
 

Most occurring categories

ValueCountFrequency (%) 
Decimal Number38330466.7%
 
Other Punctuation19165233.3%
 

Most frequent Decimal Number characters

ValueCountFrequency (%) 
019432850.7%
 
212284132.0%
 
3357419.3%
 
1303947.9%
 

Most frequent Other Punctuation characters

ValueCountFrequency (%) 
.191652100.0%
 

Most occurring scripts

ValueCountFrequency (%) 
Common574956100.0%
 

Most frequent Common characters

ValueCountFrequency (%) 
019432833.8%
 
.19165233.3%
 
212284121.4%
 
3357416.2%
 
1303945.3%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII574956100.0%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
019432833.8%
 
.19165233.3%
 
212284121.4%
 
3357416.2%
 
1303945.3%
 

KBA13_KW_0_60
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.82982176
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2020-12-02T12:24:06.395996image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8237283226
Coefficient of variation (CV)0.2910884121
Kurtosis0.7757915236
Mean2.82982176
Median Absolute Deviation (MAD)0
Skewness-0.1867694386
Sum542341
Variance0.6785283495
MonotocityNot monotonic
2020-12-02T12:24:06.498504image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
311454659.8%
 
23599218.8%
 
42161911.3%
 
1143087.5%
 
551872.7%
 
ValueCountFrequency (%) 
1143087.5%
 
23599218.8%
 
311454659.8%
 
42161911.3%
 
551872.7%
 
ValueCountFrequency (%) 
551872.7%
 
42161911.3%
 
311454659.8%
 
23599218.8%
 
1143087.5%
 

KBA13_KW_110
Real number (ℝ≥0)

ZEROS

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.712212761
Minimum0
Maximum5
Zeros19148
Zeros (%)10.0%
Memory size1.5 MiB
2020-12-02T12:24:06.589747image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.232702019
Coefficient of variation (CV)0.4545004863
Kurtosis0.5051320171
Mean2.712212761
Median Absolute Deviation (MAD)0
Skewness-0.6248029354
Sum519801
Variance1.519554267
MonotocityNot monotonic
2020-12-02T12:24:06.672253image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
310513454.9%
 
22704314.1%
 
01914810.0%
 
4178629.3%
 
5141007.4%
 
183654.4%
 
ValueCountFrequency (%) 
01914810.0%
 
183654.4%
 
22704314.1%
 
310513454.9%
 
4178629.3%
 
5141007.4%
 
ValueCountFrequency (%) 
5141007.4%
 
4178629.3%
 
310513454.9%
 
22704314.1%
 
183654.4%
 
01914810.0%
 

KBA13_KW_120
Real number (ℝ≥0)

ZEROS

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.640003757
Minimum0
Maximum5
Zeros17157
Zeros (%)9.0%
Memory size1.5 MiB
2020-12-02T12:24:06.753539image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.347772805
Coefficient of variation (CV)0.5105192756
Kurtosis-0.4007700404
Mean2.640003757
Median Absolute Deviation (MAD)0
Skewness-0.4066711012
Sum505962
Variance1.816491535
MonotocityNot monotonic
2020-12-02T12:24:06.840886image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
310196053.2%
 
13225116.8%
 
4189979.9%
 
0171579.0%
 
5164238.6%
 
248642.5%
 
ValueCountFrequency (%) 
0171579.0%
 
13225116.8%
 
248642.5%
 
310196053.2%
 
4189979.9%
 
5164238.6%
 
ValueCountFrequency (%) 
5164238.6%
 
4189979.9%
 
310196053.2%
 
248642.5%
 
13225116.8%
 
0171579.0%
 

KBA13_KW_121
Real number (ℝ≥0)

ZEROS

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.835754388
Minimum0
Maximum5
Zeros15218
Zeros (%)7.9%
Memory size1.5 MiB
2020-12-02T12:24:06.928986image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.266082605
Coefficient of variation (CV)0.4464711792
Kurtosis0.3215699732
Mean2.835754388
Median Absolute Deviation (MAD)0
Skewness-0.5182406846
Sum543478
Variance1.602965164
MonotocityNot monotonic
2020-12-02T12:24:07.023805image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
310348754.0%
 
52065510.8%
 
21946010.2%
 
41933010.1%
 
0152187.9%
 
1135027.0%
 
ValueCountFrequency (%) 
0152187.9%
 
1135027.0%
 
21946010.2%
 
310348754.0%
 
41933010.1%
 
52065510.8%
 
ValueCountFrequency (%) 
52065510.8%
 
41933010.1%
 
310348754.0%
 
21946010.2%
 
1135027.0%
 
0152187.9%
 

KBA13_KW_30
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.5 MiB
1
153881 
2
24871 
3
 
12900
ValueCountFrequency (%) 
115388180.3%
 
22487113.0%
 
3129006.7%
 
2020-12-02T12:24:07.137928image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

Overview of Unicode Properties

Unique unicode characters5
Unique unicode categories2 ?
Unique unicode scripts1 ?
Unique unicode blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
.19165233.3%
 
019165233.3%
 
115388126.8%
 
2248714.3%
 
3129002.2%
 

Most occurring categories

ValueCountFrequency (%) 
Decimal Number38330466.7%
 
Other Punctuation19165233.3%
 

Most frequent Decimal Number characters

ValueCountFrequency (%) 
019165250.0%
 
115388140.1%
 
2248716.5%
 
3129003.4%
 

Most frequent Other Punctuation characters

ValueCountFrequency (%) 
.191652100.0%
 

Most occurring scripts

ValueCountFrequency (%) 
Common574956100.0%
 

Most frequent Common characters

ValueCountFrequency (%) 
.19165233.3%
 
019165233.3%
 
115388126.8%
 
2248714.3%
 
3129002.2%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII574956100.0%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
.19165233.3%
 
019165233.3%
 
115388126.8%
 
2248714.3%
 
3129002.2%
 

KBA13_KW_40
Real number (ℝ≥0)

ZEROS

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.40742596
Minimum0
Maximum5
Zeros19498
Zeros (%)10.2%
Memory size1.5 MiB
2020-12-02T12:24:07.244056image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q33
95-th percentile4
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.218020762
Coefficient of variation (CV)0.505943187
Kurtosis-0.225200528
Mean2.40742596
Median Absolute Deviation (MAD)0
Skewness-0.462268082
Sum461388
Variance1.483574578
MonotocityNot monotonic
2020-12-02T12:24:07.333484image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
310028752.3%
 
12770514.5%
 
22544013.3%
 
01949810.2%
 
4116686.1%
 
570543.7%
 
ValueCountFrequency (%) 
01949810.2%
 
12770514.5%
 
22544013.3%
 
310028752.3%
 
4116686.1%
 
570543.7%
 
ValueCountFrequency (%) 
570543.7%
 
4116686.1%
 
310028752.3%
 
22544013.3%
 
12770514.5%
 
01949810.2%
 

KBA13_KW_50
Real number (ℝ≥0)

ZEROS

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.39235698
Minimum0
Maximum5
Zeros29204
Zeros (%)15.2%
Memory size1.5 MiB
2020-12-02T12:24:07.419365image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q33
95-th percentile4
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.263422541
Coefficient of variation (CV)0.5281078664
Kurtosis-0.09986700436
Mean2.39235698
Median Absolute Deviation (MAD)0
Skewness-0.5918094657
Sum458500
Variance1.596236516
MonotocityNot monotonic
2020-12-02T12:24:07.519767image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
39775551.0%
 
23656719.1%
 
02920415.2%
 
4117416.1%
 
191974.8%
 
571883.8%
 
ValueCountFrequency (%) 
02920415.2%
 
191974.8%
 
23656719.1%
 
39775551.0%
 
4117416.1%
 
571883.8%
 
ValueCountFrequency (%) 
571883.8%
 
4117416.1%
 
39775551.0%
 
23656719.1%
 
191974.8%
 
02920415.2%
 

KBA13_KW_60
Real number (ℝ≥0)

ZEROS

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.388469726
Minimum0
Maximum5
Zeros24799
Zeros (%)12.9%
Memory size1.5 MiB
2020-12-02T12:24:07.610544image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q33
95-th percentile4
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.238164964
Coefficient of variation (CV)0.5183925717
Kurtosis-0.1353798374
Mean2.388469726
Median Absolute Deviation (MAD)0
Skewness-0.5187722463
Sum457755
Variance1.533052478
MonotocityNot monotonic
2020-12-02T12:24:07.704551image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
39630350.2%
 
23485418.2%
 
02479912.9%
 
1168908.8%
 
4117826.1%
 
570243.7%
 
ValueCountFrequency (%) 
02479912.9%
 
1168908.8%
 
23485418.2%
 
39630350.2%
 
4117826.1%
 
570243.7%
 
ValueCountFrequency (%) 
570243.7%
 
4117826.1%
 
39630350.2%
 
23485418.2%
 
1168908.8%
 
02479912.9%
 

KBA13_KW_61_120
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.062159539
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2020-12-02T12:24:07.799854image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median3
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7908684027
Coefficient of variation (CV)0.258271456
Kurtosis1.064013947
Mean3.062159539
Median Absolute Deviation (MAD)0
Skewness0.06336669742
Sum586869
Variance0.6254728304
MonotocityNot monotonic
2020-12-02T12:24:07.895423image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
311813061.6%
 
43212016.8%
 
22570513.4%
 
592234.8%
 
164743.4%
 
ValueCountFrequency (%) 
164743.4%
 
22570513.4%
 
311813061.6%
 
43212016.8%
 
592234.8%
 
ValueCountFrequency (%) 
592234.8%
 
43212016.8%
 
311813061.6%
 
22570513.4%
 
164743.4%
 

KBA13_KW_70
Real number (ℝ≥0)

ZEROS

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.454511302
Minimum0
Maximum5
Zeros27083
Zeros (%)14.1%
Memory size1.5 MiB
2020-12-02T12:24:07.988205image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q33
95-th percentile4
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.25521475
Coefficient of variation (CV)0.5113909028
Kurtosis0.03196194079
Mean2.454511302
Median Absolute Deviation (MAD)0
Skewness-0.6184902244
Sum470412
Variance1.57556407
MonotocityNot monotonic
2020-12-02T12:24:08.076716image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
39959252.0%
 
23490318.2%
 
02708314.1%
 
4133207.0%
 
188054.6%
 
579494.1%
 
ValueCountFrequency (%) 
02708314.1%
 
188054.6%
 
23490318.2%
 
39959252.0%
 
4133207.0%
 
579494.1%
 
ValueCountFrequency (%) 
579494.1%
 
4133207.0%
 
39959252.0%
 
23490318.2%
 
188054.6%
 
02708314.1%
 

KBA13_KW_80
Real number (ℝ≥0)

ZEROS

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.465286039
Minimum0
Maximum5
Zeros23396
Zeros (%)12.2%
Memory size1.5 MiB
2020-12-02T12:24:08.162793image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q33
95-th percentile4
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.232058362
Coefficient of variation (CV)0.4997628437
Kurtosis0.04182354167
Mean2.465286039
Median Absolute Deviation (MAD)0
Skewness-0.5724664208
Sum472477
Variance1.517967806
MonotocityNot monotonic
2020-12-02T12:24:08.250162image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
39976652.1%
 
23308317.3%
 
02339612.2%
 
1142097.4%
 
4131866.9%
 
580124.2%
 
ValueCountFrequency (%) 
02339612.2%
 
1142097.4%
 
23308317.3%
 
39976652.1%
 
4131866.9%
 
580124.2%
 
ValueCountFrequency (%) 
580124.2%
 
4131866.9%
 
39976652.1%
 
23308317.3%
 
1142097.4%
 
02339612.2%
 

KBA13_KW_90
Real number (ℝ≥0)

ZEROS

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.577645942
Minimum0
Maximum5
Zeros23538
Zeros (%)12.3%
Memory size1.5 MiB
2020-12-02T12:24:08.336521image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.249751322
Coefficient of variation (CV)0.4848421195
Kurtosis0.2723869795
Mean2.577645942
Median Absolute Deviation (MAD)0
Skewness-0.624433568
Sum494011
Variance1.561878366
MonotocityNot monotonic
2020-12-02T12:24:08.431627image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
310212253.3%
 
23197116.7%
 
02353812.3%
 
4154588.1%
 
5108275.6%
 
177364.0%
 
ValueCountFrequency (%) 
02353812.3%
 
177364.0%
 
23197116.7%
 
310212253.3%
 
4154588.1%
 
5108275.6%
 
ValueCountFrequency (%) 
5108275.6%
 
4154588.1%
 
310212253.3%
 
23197116.7%
 
177364.0%
 
02353812.3%
 

KBA13_MAZDA
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.964524242
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2020-12-02T12:24:08.521292image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median3
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8378070663
Coefficient of variation (CV)0.2826109682
Kurtosis0.8522188045
Mean2.964524242
Median Absolute Deviation (MAD)0
Skewness0.07716294436
Sum568157
Variance0.7019206804
MonotocityNot monotonic
2020-12-02T12:24:08.608158image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
311407659.5%
 
23285117.1%
 
42566213.4%
 
596295.0%
 
194344.9%
 
ValueCountFrequency (%) 
194344.9%
 
23285117.1%
 
311407659.5%
 
42566213.4%
 
596295.0%
 
ValueCountFrequency (%) 
596295.0%
 
42566213.4%
 
311407659.5%
 
23285117.1%
 
194344.9%
 

KBA13_MERCEDES
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.303164068
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2020-12-02T12:24:08.706941image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8194125589
Coefficient of variation (CV)0.2480689854
Kurtosis0.490939087
Mean3.303164068
Median Absolute Deviation (MAD)0
Skewness0.358708969
Sum633058
Variance0.6714369417
MonotocityNot monotonic
2020-12-02T12:24:08.794450image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
311379859.4%
 
43955520.6%
 
51991510.4%
 
2154858.1%
 
128991.5%
 
ValueCountFrequency (%) 
128991.5%
 
2154858.1%
 
311379859.4%
 
43955520.6%
 
51991510.4%
 
ValueCountFrequency (%) 
51991510.4%
 
43955520.6%
 
311379859.4%
 
2154858.1%
 
128991.5%
 

KBA13_MOTOR
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.5 MiB
3
135599 
2
25478 
4
18343 
1
 
12232
ValueCountFrequency (%) 
313559970.8%
 
22547813.3%
 
4183439.6%
 
1122326.4%
 
2020-12-02T12:24:08.900095image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

Overview of Unicode Properties

Unique unicode characters6
Unique unicode categories2 ?
Unique unicode scripts1 ?
Unique unicode blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
.19165233.3%
 
019165233.3%
 
313559923.6%
 
2254784.4%
 
4183433.2%
 
1122322.1%
 

Most occurring categories

ValueCountFrequency (%) 
Decimal Number38330466.7%
 
Other Punctuation19165233.3%
 

Most frequent Decimal Number characters

ValueCountFrequency (%) 
019165250.0%
 
313559935.4%
 
2254786.6%
 
4183434.8%
 
1122323.2%
 

Most frequent Other Punctuation characters

ValueCountFrequency (%) 
.191652100.0%
 

Most occurring scripts

ValueCountFrequency (%) 
Common574956100.0%
 

Most frequent Common characters

ValueCountFrequency (%) 
.19165233.3%
 
019165233.3%
 
313559923.6%
 
2254784.4%
 
4183433.2%
 
1122322.1%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII574956100.0%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
.19165233.3%
 
019165233.3%
 
313559923.6%
 
2254784.4%
 
4183433.2%
 
1122322.1%
 

KBA13_NISSAN
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.866189761
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2020-12-02T12:24:08.994526image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8453452043
Coefficient of variation (CV)0.2949369284
Kurtosis0.7446855604
Mean2.866189761
Median Absolute Deviation (MAD)0
Skewness-0.01905189108
Sum549311
Variance0.7146085145
MonotocityNot monotonic
2020-12-02T12:24:09.083460image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
311177858.3%
 
23734119.5%
 
42236211.7%
 
1127526.7%
 
574193.9%
 
ValueCountFrequency (%) 
1127526.7%
 
23734119.5%
 
311177858.3%
 
42236211.7%
 
574193.9%
 
ValueCountFrequency (%) 
574193.9%
 
42236211.7%
 
311177858.3%
 
23734119.5%
 
1127526.7%
 

KBA13_OPEL
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.89616075
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2020-12-02T12:24:09.194232image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9389549437
Coefficient of variation (CV)0.3242067775
Kurtosis0.3580240295
Mean2.89616075
Median Absolute Deviation (MAD)0
Skewness-0.02539140427
Sum555055
Variance0.8816363863
MonotocityNot monotonic
2020-12-02T12:24:09.291567image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
310607455.3%
 
23233416.9%
 
42475912.9%
 
1173249.0%
 
5111615.8%
 
ValueCountFrequency (%) 
1173249.0%
 
23233416.9%
 
310607455.3%
 
42475912.9%
 
5111615.8%
 
ValueCountFrequency (%) 
5111615.8%
 
42475912.9%
 
310607455.3%
 
23233416.9%
 
1173249.0%
 

KBA13_PEUGEOT
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.095099451
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2020-12-02T12:24:09.389025image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median3
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8665327647
Coefficient of variation (CV)0.2799692799
Kurtosis0.6768641855
Mean3.095099451
Median Absolute Deviation (MAD)0
Skewness0.1244987371
Sum593182
Variance0.7508790322
MonotocityNot monotonic
2020-12-02T12:24:09.475034image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
311236058.6%
 
43128116.3%
 
22589513.5%
 
5142687.4%
 
178484.1%
 
ValueCountFrequency (%) 
178484.1%
 
22589513.5%
 
311236058.6%
 
43128116.3%
 
5142687.4%
 
ValueCountFrequency (%) 
5142687.4%
 
43128116.3%
 
311236058.6%
 
22589513.5%
 
178484.1%
 

KBA13_RENAULT
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.915200468
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2020-12-02T12:24:09.568955image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median3
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8597231636
Coefficient of variation (CV)0.2949104781
Kurtosis0.7538934889
Mean2.915200468
Median Absolute Deviation (MAD)0
Skewness-0.008183445094
Sum558704
Variance0.7391239179
MonotocityNot monotonic
2020-12-02T12:24:09.661981image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
311273358.8%
 
23341717.4%
 
42413112.6%
 
1124276.5%
 
589444.7%
 
ValueCountFrequency (%) 
1124276.5%
 
23341717.4%
 
311273358.8%
 
42413112.6%
 
589444.7%
 
ValueCountFrequency (%) 
589444.7%
 
42413112.6%
 
311273358.8%
 
23341717.4%
 
1124276.5%
 

KBA13_SEG_GELAENDEWAGEN
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.106155949
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2020-12-02T12:24:09.775311image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median3
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8048529087
Coefficient of variation (CV)0.2591154217
Kurtosis0.9820124112
Mean3.106155949
Median Absolute Deviation (MAD)0
Skewness0.1716176756
Sum595301
Variance0.6477882047
MonotocityNot monotonic
2020-12-02T12:24:09.869155image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
311775061.4%
 
43229416.9%
 
22413912.6%
 
5117826.1%
 
156873.0%
 
ValueCountFrequency (%) 
156873.0%
 
22413912.6%
 
311775061.4%
 
43229416.9%
 
5117826.1%
 
ValueCountFrequency (%) 
5117826.1%
 
43229416.9%
 
311775061.4%
 
22413912.6%
 
156873.0%
 

KBA13_SEG_GROSSRAUMVANS
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.225768581
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2020-12-02T12:24:09.976119image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8351947888
Coefficient of variation (CV)0.2589134242
Kurtosis0.6365056668
Mean3.225768581
Median Absolute Deviation (MAD)0
Skewness0.2461116558
Sum618225
Variance0.6975503352
MonotocityNot monotonic
2020-12-02T12:24:10.092614image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
311366059.3%
 
43689319.2%
 
21927810.1%
 
5173249.0%
 
144972.3%
 
ValueCountFrequency (%) 
144972.3%
 
21927810.1%
 
311366059.3%
 
43689319.2%
 
5173249.0%
 
ValueCountFrequency (%) 
5173249.0%
 
43689319.2%
 
311366059.3%
 
21927810.1%
 
144972.3%
 

KBA13_SEG_KLEINST
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.865960178
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2020-12-02T12:24:10.190258image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8686825804
Coefficient of variation (CV)0.3031035069
Kurtosis0.6460882718
Mean2.865960178
Median Absolute Deviation (MAD)0
Skewness-0.1083211136
Sum549267
Variance0.7546094255
MonotocityNot monotonic
2020-12-02T12:24:10.286345image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
311178358.3%
 
23365717.6%
 
42348012.3%
 
1152448.0%
 
574883.9%
 
ValueCountFrequency (%) 
1152448.0%
 
23365717.6%
 
311178358.3%
 
42348012.3%
 
574883.9%
 
ValueCountFrequency (%) 
574883.9%
 
42348012.3%
 
311178358.3%
 
23365717.6%
 
1152448.0%
 

KBA13_SEG_KLEINWAGEN
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.82483877
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2020-12-02T12:24:10.403166image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8369784555
Coefficient of variation (CV)0.2962924696
Kurtosis0.7263232284
Mean2.82483877
Median Absolute Deviation (MAD)0
Skewness-0.2055154595
Sum541386
Variance0.700532935
MonotocityNot monotonic
2020-12-02T12:24:10.505222image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
311436459.7%
 
23477018.1%
 
42156811.3%
 
1155678.1%
 
553832.8%
 
ValueCountFrequency (%) 
1155678.1%
 
23477018.1%
 
311436459.7%
 
42156811.3%
 
553832.8%
 
ValueCountFrequency (%) 
553832.8%
 
42156811.3%
 
311436459.7%
 
23477018.1%
 
1155678.1%
 

KBA13_SEG_KOMPAKTKLASSE
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.812472607
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2020-12-02T12:24:10.618197image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7957414448
Coefficient of variation (CV)0.2829330472
Kurtosis0.9592721294
Mean2.812472607
Median Absolute Deviation (MAD)0
Skewness-0.2223604006
Sum539016
Variance0.633204447
MonotocityNot monotonic
2020-12-02T12:24:10.720827image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
311808061.6%
 
23649119.0%
 
4189079.9%
 
1136767.1%
 
544982.3%
 
ValueCountFrequency (%) 
1136767.1%
 
23649119.0%
 
311808061.6%
 
4189079.9%
 
544982.3%
 
ValueCountFrequency (%) 
544982.3%
 
4189079.9%
 
311808061.6%
 
23649119.0%
 
1136767.1%
 

KBA13_SEG_MINIVANS
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.059686306
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2020-12-02T12:24:10.837087image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median3
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8367365707
Coefficient of variation (CV)0.2734713585
Kurtosis0.8506248585
Mean3.059686306
Median Absolute Deviation (MAD)0
Skewness0.1212772238
Sum586395
Variance0.7001280888
MonotocityNot monotonic
2020-12-02T12:24:10.940797image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
311503760.0%
 
42994515.6%
 
22725414.2%
 
5118956.2%
 
175213.9%
 
ValueCountFrequency (%) 
175213.9%
 
22725414.2%
 
311503760.0%
 
42994515.6%
 
5118956.2%
 
ValueCountFrequency (%) 
5118956.2%
 
42994515.6%
 
311503760.0%
 
22725414.2%
 
175213.9%
 

KBA13_SEG_MINIWAGEN
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.083724668
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2020-12-02T12:24:11.057812image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median3
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8126892596
Coefficient of variation (CV)0.2635414465
Kurtosis0.9530473759
Mean3.083724668
Median Absolute Deviation (MAD)0
Skewness0.1419516695
Sum591002
Variance0.6604638326
MonotocityNot monotonic
2020-12-02T12:24:11.176145image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
311692361.0%
 
43144516.4%
 
22555313.3%
 
5114046.0%
 
163273.3%
 
ValueCountFrequency (%) 
163273.3%
 
22555313.3%
 
311692361.0%
 
43144516.4%
 
5114046.0%
 
ValueCountFrequency (%) 
5114046.0%
 
43144516.4%
 
311692361.0%
 
22555313.3%
 
163273.3%
 

KBA13_SEG_MITTELKLASSE
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.986188508
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2020-12-02T12:24:11.297729image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median3
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8336008666
Coefficient of variation (CV)0.2791521246
Kurtosis0.876975984
Mean2.986188508
Median Absolute Deviation (MAD)0
Skewness0.04494535084
Sum572309
Variance0.6948904049
MonotocityNot monotonic
2020-12-02T12:24:11.395620image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
311480059.9%
 
23070916.0%
 
42735614.3%
 
595705.0%
 
192174.8%
 
ValueCountFrequency (%) 
192174.8%
 
23070916.0%
 
311480059.9%
 
42735614.3%
 
595705.0%
 
ValueCountFrequency (%) 
595705.0%
 
42735614.3%
 
311480059.9%
 
23070916.0%
 
192174.8%
 

KBA13_SEG_OBEREMITTELKLASSE
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.260185127
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2020-12-02T12:24:11.502296image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8158046294
Coefficient of variation (CV)0.2502326087
Kurtosis0.6025664714
Mean3.260185127
Median Absolute Deviation (MAD)0
Skewness0.361814665
Sum624821
Variance0.6655371933
MonotocityNot monotonic
2020-12-02T12:24:11.604656image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
311541760.2%
 
43721519.4%
 
5182759.5%
 
2175909.2%
 
131551.6%
 
ValueCountFrequency (%) 
131551.6%
 
2175909.2%
 
311541760.2%
 
43721519.4%
 
5182759.5%
 
ValueCountFrequency (%) 
5182759.5%
 
43721519.4%
 
311541760.2%
 
2175909.2%
 
131551.6%
 

KBA13_SEG_OBERKLASSE
Real number (ℝ≥0)

ZEROS

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.800993467
Minimum0
Maximum5
Zeros14998
Zeros (%)7.8%
Memory size1.5 MiB
2020-12-02T12:24:11.703931image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median3
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.267997559
Coefficient of variation (CV)0.4526956501
Kurtosis0.2347776547
Mean2.800993467
Median Absolute Deviation (MAD)0
Skewness-0.5251120382
Sum536816
Variance1.607817809
MonotocityNot monotonic
2020-12-02T12:24:11.805712image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
310686755.8%
 
51911410.0%
 
4185869.7%
 
1178739.3%
 
0149987.8%
 
2142147.4%
 
ValueCountFrequency (%) 
0149987.8%
 
1178739.3%
 
2142147.4%
 
310686755.8%
 
4185869.7%
 
51911410.0%
 
ValueCountFrequency (%) 
51911410.0%
 
4185869.7%
 
310686755.8%
 
2142147.4%
 
1178739.3%
 
0149987.8%
 

KBA13_SEG_SONSTIGE
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.972236136
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2020-12-02T12:24:11.893819image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median3
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7749154553
Coefficient of variation (CV)0.2607179981
Kurtosis1.094157647
Mean2.972236136
Median Absolute Deviation (MAD)0
Skewness0.1580025784
Sum569635
Variance0.6004939629
MonotocityNot monotonic
2020-12-02T12:24:11.981013image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
311808661.6%
 
23413617.8%
 
42554113.3%
 
577634.1%
 
161263.2%
 
ValueCountFrequency (%) 
161263.2%
 
23413617.8%
 
311808661.6%
 
42554113.3%
 
577634.1%
 
ValueCountFrequency (%) 
577634.1%
 
42554113.3%
 
311808661.6%
 
23413617.8%
 
161263.2%
 

KBA13_SEG_SPORTWAGEN
Real number (ℝ≥0)

ZEROS

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.968114082
Minimum0
Maximum5
Zeros14430
Zeros (%)7.5%
Memory size1.5 MiB
2020-12-02T12:24:12.080432image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median3
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.237307307
Coefficient of variation (CV)0.4168664927
Kurtosis0.7227486285
Mean2.968114082
Median Absolute Deviation (MAD)0
Skewness-0.6160484417
Sum568845
Variance1.530929372
MonotocityNot monotonic
2020-12-02T12:24:12.174692image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
310597155.3%
 
52380612.4%
 
42201611.5%
 
2184099.6%
 
0144307.5%
 
170203.7%
 
ValueCountFrequency (%) 
0144307.5%
 
170203.7%
 
2184099.6%
 
310597155.3%
 
42201611.5%
 
52380612.4%
 
ValueCountFrequency (%) 
52380612.4%
 
42201611.5%
 
310597155.3%
 
2184099.6%
 
170203.7%
 
0144307.5%
 

KBA13_SEG_UTILITIES
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.058621877
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2020-12-02T12:24:12.274281image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median3
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8052778379
Coefficient of variation (CV)0.2632812653
Kurtosis0.9683755292
Mean3.058621877
Median Absolute Deviation (MAD)0
Skewness0.1394070239
Sum586191
Variance0.6484723962
MonotocityNot monotonic
2020-12-02T12:24:12.381108image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
311689161.0%
 
43053315.9%
 
22750214.3%
 
5104145.4%
 
163123.3%
 
ValueCountFrequency (%) 
163123.3%
 
22750214.3%
 
311689161.0%
 
43053315.9%
 
5104145.4%
 
ValueCountFrequency (%) 
5104145.4%
 
43053315.9%
 
311689161.0%
 
22750214.3%
 
163123.3%
 

KBA13_SEG_VAN
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.156956358
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2020-12-02T12:24:12.489991image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.836977702
Coefficient of variation (CV)0.2651217207
Kurtosis0.7498790835
Mean3.156956358
Median Absolute Deviation (MAD)0
Skewness0.1853190278
Sum605037
Variance0.7005316736
MonotocityNot monotonic
2020-12-02T12:24:12.585315image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
311435659.7%
 
43429117.9%
 
22244411.7%
 
5148397.7%
 
157223.0%
 
ValueCountFrequency (%) 
157223.0%
 
22244411.7%
 
311435659.7%
 
43429117.9%
 
5148397.7%
 
ValueCountFrequency (%) 
5148397.7%
 
43429117.9%
 
311435659.7%
 
22244411.7%
 
157223.0%
 

KBA13_SEG_WOHNMOBILE
Real number (ℝ≥0)

ZEROS

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.75786321
Minimum0
Maximum5
Zeros15839
Zeros (%)8.3%
Memory size1.5 MiB
2020-12-02T12:24:12.684510image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.211131804
Coefficient of variation (CV)0.4391558651
Kurtosis0.5504398177
Mean2.75786321
Median Absolute Deviation (MAD)0
Skewness-0.5676942036
Sum528550
Variance1.466840247
MonotocityNot monotonic
2020-12-02T12:24:12.779016image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
310551255.1%
 
22573213.4%
 
4180679.4%
 
0158398.3%
 
5154458.1%
 
1110575.8%
 
ValueCountFrequency (%) 
0158398.3%
 
1110575.8%
 
22573213.4%
 
310551255.1%
 
4180679.4%
 
5154458.1%
 
ValueCountFrequency (%) 
5154458.1%
 
4180679.4%
 
310551255.1%
 
22573213.4%
 
1110575.8%
 
0158398.3%
 

KBA13_SITZE_4
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.332910692
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2020-12-02T12:24:12.877586image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8291191837
Coefficient of variation (CV)0.2487672969
Kurtosis0.38976931
Mean3.332910692
Median Absolute Deviation (MAD)0
Skewness0.3551140293
Sum638759
Variance0.6874386207
MonotocityNot monotonic
2020-12-02T12:24:12.973771image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
311257158.7%
 
44018421.0%
 
52178811.4%
 
2142617.4%
 
128481.5%
 
ValueCountFrequency (%) 
128481.5%
 
2142617.4%
 
311257158.7%
 
44018421.0%
 
52178811.4%
 
ValueCountFrequency (%) 
52178811.4%
 
44018421.0%
 
311257158.7%
 
2142617.4%
 
128481.5%
 

KBA13_SITZE_5
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.644157118
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2020-12-02T12:24:13.078711image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8424230438
Coefficient of variation (CV)0.3185979525
Kurtosis0.3101028359
Mean2.644157118
Median Absolute Deviation (MAD)0
Skewness-0.3260836576
Sum506758
Variance0.7096765847
MonotocityNot monotonic
2020-12-02T12:24:13.199109image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
311107558.0%
 
24060521.2%
 
12353312.3%
 
4134057.0%
 
530341.6%
 
ValueCountFrequency (%) 
12353312.3%
 
24060521.2%
 
311107558.0%
 
4134057.0%
 
530341.6%
 
ValueCountFrequency (%) 
530341.6%
 
4134057.0%
 
311107558.0%
 
24060521.2%
 
12353312.3%
 

KBA13_SITZE_6
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.242475946
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2020-12-02T12:24:13.294885image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8496286951
Coefficient of variation (CV)0.2620308398
Kurtosis0.5377259661
Mean3.242475946
Median Absolute Deviation (MAD)0
Skewness0.2712502519
Sum621427
Variance0.7218689196
MonotocityNot monotonic
2020-12-02T12:24:13.415200image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
311305659.0%
 
43590018.7%
 
51923510.0%
 
2190239.9%
 
144382.3%
 
ValueCountFrequency (%) 
144382.3%
 
2190239.9%
 
311305659.0%
 
43590018.7%
 
51923510.0%
 
ValueCountFrequency (%) 
51923510.0%
 
43590018.7%
 
311305659.0%
 
2190239.9%
 
144382.3%
 

KBA13_TOYOTA
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.04206061
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2020-12-02T12:24:13.509572image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median3
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8420566686
Coefficient of variation (CV)0.2768046981
Kurtosis0.8472014049
Mean3.04206061
Median Absolute Deviation (MAD)0
Skewness0.1379706858
Sum583017
Variance0.7090594332
MonotocityNot monotonic
2020-12-02T12:24:13.609196image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
311506160.0%
 
22847314.9%
 
42823814.7%
 
5120146.3%
 
178664.1%
 
ValueCountFrequency (%) 
178664.1%
 
22847314.9%
 
311506160.0%
 
42823814.7%
 
5120146.3%
 
ValueCountFrequency (%) 
5120146.3%
 
42823814.7%
 
311506160.0%
 
22847314.9%
 
178664.1%
 

KBA13_VORB_0
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.275118444
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2020-12-02T12:24:13.722574image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8354278181
Coefficient of variation (CV)0.2550832382
Kurtosis0.4280644369
Mean3.275118444
Median Absolute Deviation (MAD)0
Skewness0.3356697584
Sum627683
Variance0.6979396393
MonotocityNot monotonic
2020-12-02T12:24:13.825131image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
311210658.5%
 
43815419.9%
 
51971810.3%
 
2184859.6%
 
131891.7%
 
ValueCountFrequency (%) 
131891.7%
 
2184859.6%
 
311210658.5%
 
43815419.9%
 
51971810.3%
 
ValueCountFrequency (%) 
51971810.3%
 
43815419.9%
 
311210658.5%
 
2184859.6%
 
131891.7%
 

KBA13_VORB_1
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.034520902
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2020-12-02T12:24:13.927945image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median3
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7922168419
Coefficient of variation (CV)0.2610681776
Kurtosis1.053896028
Mean3.034520902
Median Absolute Deviation (MAD)0
Skewness0.05385169178
Sum581572
Variance0.6276075247
MonotocityNot monotonic
2020-12-02T12:24:14.028606image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
311791261.5%
 
43055315.9%
 
22759714.4%
 
587104.5%
 
168803.6%
 
ValueCountFrequency (%) 
168803.6%
 
22759714.4%
 
311791261.5%
 
43055315.9%
 
587104.5%
 
ValueCountFrequency (%) 
587104.5%
 
43055315.9%
 
311791261.5%
 
22759714.4%
 
168803.6%
 

KBA13_VORB_1_2
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.892231753
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2020-12-02T12:24:14.141902image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median3
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.825384741
Coefficient of variation (CV)0.2853798766
Kurtosis0.8449138423
Mean2.892231753
Median Absolute Deviation (MAD)0
Skewness-0.177777543
Sum554302
Variance0.6812599706
MonotocityNot monotonic
2020-12-02T12:24:14.244509image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
311550860.3%
 
23213216.8%
 
42513013.1%
 
1128546.7%
 
560283.1%
 
ValueCountFrequency (%) 
1128546.7%
 
23213216.8%
 
311550860.3%
 
42513013.1%
 
560283.1%
 
ValueCountFrequency (%) 
560283.1%
 
42513013.1%
 
311550860.3%
 
23213216.8%
 
1128546.7%
 

KBA13_VORB_2
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.893290965
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2020-12-02T12:24:14.349336image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median3
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7908822578
Coefficient of variation (CV)0.2733504053
Kurtosis1.012127185
Mean2.893290965
Median Absolute Deviation (MAD)0
Skewness-0.05326959053
Sum554505
Variance0.6254947458
MonotocityNot monotonic
2020-12-02T12:24:14.453523image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
311687961.0%
 
23586318.7%
 
42314812.1%
 
198155.1%
 
559473.1%
 
ValueCountFrequency (%) 
198155.1%
 
23586318.7%
 
311687961.0%
 
42314812.1%
 
559473.1%
 
ValueCountFrequency (%) 
559473.1%
 
42314812.1%
 
311687961.0%
 
23586318.7%
 
198155.1%
 

KBA13_VORB_3
Real number (ℝ≥0)

ZEROS

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.276297665
Minimum0
Maximum5
Zeros31766
Zeros (%)16.6%
Memory size1.5 MiB
2020-12-02T12:24:14.554396image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q33
95-th percentile4
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.255924925
Coefficient of variation (CV)0.5517401983
Kurtosis-0.3292092311
Mean2.276297665
Median Absolute Deviation (MAD)1
Skewness-0.5632002946
Sum436257
Variance1.577347417
MonotocityNot monotonic
2020-12-02T12:24:14.653201image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
39440349.3%
 
23894020.3%
 
03176616.6%
 
1120266.3%
 
494434.9%
 
550742.6%
 
ValueCountFrequency (%) 
03176616.6%
 
1120266.3%
 
23894020.3%
 
39440349.3%
 
494434.9%
 
550742.6%
 
ValueCountFrequency (%) 
550742.6%
 
494434.9%
 
39440349.3%
 
23894020.3%
 
1120266.3%
 
03176616.6%
 

KBA13_VW
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.001727089
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2020-12-02T12:24:14.745849image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median3
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8325924582
Coefficient of variation (CV)0.2773711379
Kurtosis0.9221674032
Mean3.001727089
Median Absolute Deviation (MAD)0
Skewness0.004580360679
Sum575287
Variance0.6932102015
MonotocityNot monotonic
2020-12-02T12:24:14.837173image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
311588760.5%
 
42838914.8%
 
22834614.8%
 
595875.0%
 
194434.9%
 
ValueCountFrequency (%) 
194434.9%
 
22834614.8%
 
311588760.5%
 
42838914.8%
 
595875.0%
 
ValueCountFrequency (%) 
595875.0%
 
42838914.8%
 
311588760.5%
 
22834614.8%
 
194434.9%
 

KOMBIALTER
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.997839835
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2020-12-02T12:24:14.930915image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q14
median4
Q34
95-th percentile9
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.340319837
Coefficient of variation (CV)0.4682662739
Kurtosis-0.6574909575
Mean4.997839835
Median Absolute Deviation (MAD)0
Skewness0.9911719967
Sum957846
Variance5.47709694
MonotocityNot monotonic
2020-12-02T12:24:15.017170image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
410917957.0%
 
94705124.6%
 
32834414.8%
 
255612.9%
 
115170.8%
 
ValueCountFrequency (%) 
115170.8%
 
255612.9%
 
32834414.8%
 
410917957.0%
 
94705124.6%
 
ValueCountFrequency (%) 
94705124.6%
 
410917957.0%
 
32834414.8%
 
255612.9%
 
115170.8%
 

KONSUMNAEHE
Real number (ℝ≥0)

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.098339699
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2020-12-02T12:24:15.110655image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum7
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.253553301
Coefficient of variation (CV)0.4045887227
Kurtosis-0.4348615763
Mean3.098339699
Median Absolute Deviation (MAD)1
Skewness0.09850427259
Sum593803
Variance1.571395879
MonotocityNot monotonic
2020-12-02T12:24:15.192675image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%) 
38103442.3%
 
52840514.8%
 
42799514.6%
 
12588613.5%
 
22485713.0%
 
632291.7%
 
72460.1%
 
ValueCountFrequency (%) 
12588613.5%
 
22485713.0%
 
38103442.3%
 
42799514.6%
 
52840514.8%
 
632291.7%
 
72460.1%
 
ValueCountFrequency (%) 
72460.1%
 
632291.7%
 
52840514.8%
 
42799514.6%
 
38103442.3%
 
22485713.0%
 
12588613.5%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.5 MiB
0
166546 
1
25106 
ValueCountFrequency (%) 
016654686.9%
 
12510613.1%
 

LP_FAMILIE_FEIN
Real number (ℝ≥0)

ZEROS

Distinct12
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.183123578
Minimum0
Maximum11
Zeros50582
Zeros (%)26.4%
Memory size1.5 MiB
2020-12-02T12:24:15.285819image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q310
95-th percentile11
Maximum11
Range11
Interquartile range (IQR)10

Descriptive statistics

Standard deviation4.488348222
Coefficient of variation (CV)1.072965725
Kurtosis-1.549381856
Mean4.183123578
Median Absolute Deviation (MAD)2
Skewness0.5506935012
Sum801704
Variance20.14526976
MonotocityNot monotonic
2020-12-02T12:24:15.374499image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%) 
05058226.4%
 
14076921.3%
 
103656819.1%
 
22893715.1%
 
112228911.6%
 
846862.4%
 
729601.5%
 
924281.3%
 
59030.5%
 
68310.4%
 
45440.3%
 
31550.1%
 
ValueCountFrequency (%) 
05058226.4%
 
14076921.3%
 
22893715.1%
 
31550.1%
 
45440.3%
 
59030.5%
 
68310.4%
 
729601.5%
 
846862.4%
 
924281.3%
 
ValueCountFrequency (%) 
112228911.6%
 
103656819.1%
 
924281.3%
 
846862.4%
 
729601.5%
 
68310.4%
 
59030.5%
 
45440.3%
 
31550.1%
 
22893715.1%
 

LP_FAMILIE_GROB
Real number (ℝ≥0)

ZEROS

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.399385344
Minimum0
Maximum5
Zeros47369
Zeros (%)24.7%
Memory size1.5 MiB
2020-12-02T12:24:15.466901image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q35
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.063007756
Coefficient of variation (CV)0.859806767
Kurtosis-1.636579424
Mean2.399385344
Median Absolute Deviation (MAD)2
Skewness0.2386850384
Sum459847
Variance4.256001
MonotocityNot monotonic
2020-12-02T12:24:15.563922image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
56449833.7%
 
04736924.7%
 
14076921.3%
 
22893715.1%
 
484774.4%
 
316020.8%
 
ValueCountFrequency (%) 
04736924.7%
 
14076921.3%
 
22893715.1%
 
316020.8%
 
484774.4%
 
56449833.7%
 
ValueCountFrequency (%) 
56449833.7%
 
484774.4%
 
316020.8%
 
22893715.1%
 
14076921.3%
 
04736924.7%
 

LP_LEBENSPHASE_FEIN
Real number (ℝ≥0)

ZEROS

Distinct41
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.876761
Minimum0
Maximum40
Zeros51053
Zeros (%)26.6%
Memory size1.5 MiB
2020-12-02T12:24:15.672080image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median16
Q335
95-th percentile40
Maximum40
Range40
Interquartile range (IQR)35

Descriptive statistics

Standard deviation15.06557598
Coefficient of variation (CV)0.8427464001
Kurtosis-1.477034098
Mean17.876761
Median Absolute Deviation (MAD)16
Skewness0.2085534063
Sum3426117
Variance226.9715797
MonotocityNot monotonic
2020-12-02T12:24:15.803275image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%) 
05105326.6%
 
40182999.5%
 
20108515.7%
 
1399725.2%
 
3688214.6%
 
3886484.5%
 
3967853.5%
 
666463.5%
 
862973.3%
 
1961433.2%
 
1259513.1%
 
3254152.8%
 
3745922.4%
 
3139832.1%
 
1639622.1%
 
2837091.9%
 
1734751.8%
 
1532521.7%
 
929391.5%
 
2725561.3%
 
522611.2%
 
1119851.0%
 
3517840.9%
 
717000.9%
 
2311130.6%
 
Other values (16)94604.9%
 
ValueCountFrequency (%) 
05105326.6%
 
15530.3%
 
26630.3%
 
32580.1%
 
44340.2%
 
522611.2%
 
666463.5%
 
717000.9%
 
862973.3%
 
929391.5%
 
ValueCountFrequency (%) 
40182999.5%
 
3967853.5%
 
3886484.5%
 
3745922.4%
 
3688214.6%
 
3517840.9%
 
349190.5%
 
336230.3%
 
3254152.8%
 
3139832.1%
 

LP_LEBENSPHASE_GROB
Real number (ℝ≥0)

ZEROS

Distinct13
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.33178365
Minimum0
Maximum12
Zeros50941
Zeros (%)26.6%
Memory size1.5 MiB
2020-12-02T12:24:15.906666image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q311
95-th percentile12
Maximum12
Range12
Interquartile range (IQR)11

Descriptive statistics

Standard deviation4.72971495
Coefficient of variation (CV)0.887079308
Kurtosis-1.474443252
Mean5.33178365
Median Absolute Deviation (MAD)4
Skewness0.3428492869
Sum1021847
Variance22.37020351
MonotocityNot monotonic
2020-12-02T12:24:16.016563image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%) 
05094126.6%
 
124714524.6%
 
32173911.3%
 
52106911.0%
 
2169048.8%
 
1093984.9%
 
478514.1%
 
872803.8%
 
1133261.7%
 
119081.0%
 
616020.8%
 
912920.7%
 
711970.6%
 
ValueCountFrequency (%) 
05094126.6%
 
119081.0%
 
2169048.8%
 
32173911.3%
 
478514.1%
 
52106911.0%
 
616020.8%
 
711970.6%
 
872803.8%
 
912920.7%
 
ValueCountFrequency (%) 
124714524.6%
 
1133261.7%
 
1093984.9%
 
912920.7%
 
872803.8%
 
711970.6%
 
616020.8%
 
52106911.0%
 
478514.1%
 
32173911.3%
 

LP_STATUS_FEIN
Real number (ℝ≥0)

Distinct10
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.743436019
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2020-12-02T12:24:16.116644image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q15
median7
Q310
95-th percentile10
Maximum10
Range9
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.093918966
Coefficient of variation (CV)0.4588045259
Kurtosis-1.135959321
Mean6.743436019
Median Absolute Deviation (MAD)3
Skewness-0.4503997566
Sum1292393
Variance9.572334569
MonotocityNot monotonic
2020-12-02T12:24:16.200296image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
105786630.2%
 
54191221.9%
 
93291617.2%
 
11927110.1%
 
3153648.0%
 
7105745.5%
 
665023.4%
 
450042.6%
 
214040.7%
 
88390.4%
 
ValueCountFrequency (%) 
11927110.1%
 
214040.7%
 
3153648.0%
 
450042.6%
 
54191221.9%
 
665023.4%
 
7105745.5%
 
88390.4%
 
93291617.2%
 
105786630.2%
 
ValueCountFrequency (%) 
105786630.2%
 
93291617.2%
 
88390.4%
 
7105745.5%
 
665023.4%
 
54191221.9%
 
450042.6%
 
3153648.0%
 
214040.7%
 
11927110.1%
 

LP_STATUS_GROB
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.188977939
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2020-12-02T12:24:16.291149image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.433295591
Coefficient of variation (CV)0.4494529654
Kurtosis-1.506339127
Mean3.188977939
Median Absolute Deviation (MAD)1
Skewness0.02761250394
Sum611174
Variance2.054336252
MonotocityNot monotonic
2020-12-02T12:24:16.385695image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
26549334.2%
 
55465328.5%
 
43375517.6%
 
12067510.8%
 
3170768.9%
 
ValueCountFrequency (%) 
12067510.8%
 
26549334.2%
 
3170768.9%
 
43375517.6%
 
55465328.5%
 
ValueCountFrequency (%) 
55465328.5%
 
43375517.6%
 
3170768.9%
 
26549334.2%
 
12067510.8%
 

MIN_GEBAEUDEJAHR
Real number (ℝ≥0)

Distinct32
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1992.78139
Minimum1985
Maximum2016
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2020-12-02T12:24:16.493514image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1985
5-th percentile1992
Q11992
median1992
Q31992
95-th percentile1997
Maximum2016
Range31
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.689105748
Coefficient of variation (CV)0.001349423354
Kurtosis23.81362113
Mean1992.78139
Median Absolute Deviation (MAD)0
Skewness4.517509594
Sum381920539
Variance7.231289721
MonotocityNot monotonic
2020-12-02T12:24:16.617463image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%) 
199215636581.6%
 
1994117146.1%
 
199340842.1%
 
199528961.5%
 
199626181.4%
 
199725241.3%
 
200012410.6%
 
199111210.6%
 
199010220.5%
 
20019730.5%
 
20057410.4%
 
20027000.4%
 
19996490.3%
 
19986090.3%
 
19895810.3%
 
20035240.3%
 
20044550.2%
 
20073650.2%
 
20083520.2%
 
20092970.2%
 
20062970.2%
 
20112480.1%
 
19882450.1%
 
20122190.1%
 
20102130.1%
 
Other values (7)5990.3%
 
ValueCountFrequency (%) 
198516< 0.1%
 
198638< 0.1%
 
19871180.1%
 
19882450.1%
 
19895810.3%
 
199010220.5%
 
199111210.6%
 
199215636581.6%
 
199340842.1%
 
1994117146.1%
 
ValueCountFrequency (%) 
20164< 0.1%
 
201588< 0.1%
 
20141470.1%
 
20131880.1%
 
20122190.1%
 
20112480.1%
 
20102130.1%
 
20092970.2%
 
20083520.2%
 
20073650.2%
 

MOBI_RASTER
Real number (ℝ≥0)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.405302319
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2020-12-02T12:24:16.725935image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q34
95-th percentile5
Maximum6
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.555934937
Coefficient of variation (CV)0.6468770787
Kurtosis-0.8911126155
Mean2.405302319
Median Absolute Deviation (MAD)1
Skewness0.6719007129
Sum460981
Variance2.420933529
MonotocityNot monotonic
2020-12-02T12:24:16.813579image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
18761545.7%
 
32987815.6%
 
42472912.9%
 
22254311.8%
 
52159211.3%
 
652952.8%
 
ValueCountFrequency (%) 
18761545.7%
 
22254311.8%
 
32987815.6%
 
42472912.9%
 
52159211.3%
 
652952.8%
 
ValueCountFrequency (%) 
652952.8%
 
52159211.3%
 
42472912.9%
 
32987815.6%
 
22254311.8%
 
18761545.7%
 

MOBI_REGIO
Real number (ℝ≥0)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.028343038
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2020-12-02T12:24:16.896831image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median5
Q35
95-th percentile5
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.246525014
Coefficient of variation (CV)0.3094386457
Kurtosis0.1413435439
Mean4.028343038
Median Absolute Deviation (MAD)0
Skewness-1.118943541
Sum772040
Variance1.553824611
MonotocityNot monotonic
2020-12-02T12:24:17.003502image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
59863151.5%
 
43914820.4%
 
32739914.3%
 
1132046.9%
 
2131826.9%
 
688< 0.1%
 
ValueCountFrequency (%) 
1132046.9%
 
2131826.9%
 
32739914.3%
 
43914820.4%
 
59863151.5%
 
688< 0.1%
 
ValueCountFrequency (%) 
688< 0.1%
 
59863151.5%
 
43914820.4%
 
32739914.3%
 
2131826.9%
 
1132046.9%
 

NATIONALITAET_KZ
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.5 MiB
1
187777 
2
 
2422
3
 
1453
ValueCountFrequency (%) 
118777798.0%
 
224221.3%
 
314530.8%
 
2020-12-02T12:24:17.130288image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

Overview of Unicode Properties

Unique unicode characters5
Unique unicode categories2 ?
Unique unicode scripts1 ?
Unique unicode blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
.19165233.3%
 
019165233.3%
 
118777732.7%
 
224220.4%
 
314530.3%
 

Most occurring categories

ValueCountFrequency (%) 
Decimal Number38330466.7%
 
Other Punctuation19165233.3%
 

Most frequent Decimal Number characters

ValueCountFrequency (%) 
019165250.0%
 
118777749.0%
 
224220.6%
 
314530.4%
 

Most frequent Other Punctuation characters

ValueCountFrequency (%) 
.191652100.0%
 

Most occurring scripts

ValueCountFrequency (%) 
Common574956100.0%
 

Most frequent Common characters

ValueCountFrequency (%) 
.19165233.3%
 
019165233.3%
 
118777732.7%
 
224220.4%
 
314530.3%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII574956100.0%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
.19165233.3%
 
019165233.3%
 
118777732.7%
 
224220.4%
 
314530.3%
 

ONLINE_AFFINITAET
Real number (ℝ≥0)

ZEROS

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.751513159
Minimum0
Maximum5
Zeros4110
Zeros (%)2.1%
Memory size1.5 MiB
2020-12-02T12:24:17.225564image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median2
Q34
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.259221608
Coefficient of variation (CV)0.4576469511
Kurtosis-0.7656271712
Mean2.751513159
Median Absolute Deviation (MAD)1
Skewness0.2586708884
Sum527333
Variance1.585639058
MonotocityNot monotonic
2020-12-02T12:24:17.340337image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
27965341.6%
 
43910420.4%
 
32879115.0%
 
52131111.1%
 
1186839.7%
 
041102.1%
 
ValueCountFrequency (%) 
041102.1%
 
1186839.7%
 
27965341.6%
 
32879115.0%
 
43910420.4%
 
52131111.1%
 
ValueCountFrequency (%) 
52131111.1%
 
43910420.4%
 
32879115.0%
 
27965341.6%
 
1186839.7%
 
041102.1%
 

ORTSGR_KLS9
Real number (ℝ≥0)

Distinct9
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.08803978
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2020-12-02T12:24:17.430147image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median5
Q36
95-th percentile9
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.853907766
Coefficient of variation (CV)0.3643658159
Kurtosis-0.02651760697
Mean5.08803978
Median Absolute Deviation (MAD)1
Skewness0.1555649187
Sum975133
Variance3.436974004
MonotocityNot monotonic
2020-12-02T12:24:17.554084image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%) 
57921741.3%
 
42313312.1%
 
71936310.1%
 
3160468.4%
 
6134567.0%
 
2124686.5%
 
9114306.0%
 
8111085.8%
 
154312.8%
 
ValueCountFrequency (%) 
154312.8%
 
2124686.5%
 
3160468.4%
 
42313312.1%
 
57921741.3%
 
6134567.0%
 
71936310.1%
 
8111085.8%
 
9114306.0%
 
ValueCountFrequency (%) 
9114306.0%
 
8111085.8%
 
71936310.1%
 
6134567.0%
 
57921741.3%
 
42313312.1%
 
3160468.4%
 
2124686.5%
 
154312.8%
 

PLZ8_ANTG1
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.389450671
Minimum0
Maximum4
Zeros340
Zeros (%)0.2%
Memory size1.5 MiB
2020-12-02T12:24:17.655911image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median2
Q33
95-th percentile4
Maximum4
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8068844797
Coefficient of variation (CV)0.3376861843
Kurtosis-0.1907188449
Mean2.389450671
Median Absolute Deviation (MAD)0
Skewness0.4321752891
Sum457943
Variance0.6510625635
MonotocityNot monotonic
2020-12-02T12:24:17.744048image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
210283553.7%
 
34989426.0%
 
42133611.1%
 
1172479.0%
 
03400.2%
 
ValueCountFrequency (%) 
03400.2%
 
1172479.0%
 
210283553.7%
 
34989426.0%
 
42133611.1%
 
ValueCountFrequency (%) 
42133611.1%
 
34989426.0%
 
210283553.7%
 
1172479.0%
 
03400.2%
 

PLZ8_ANTG2
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.805428589
Minimum0
Maximum4
Zeros648
Zeros (%)0.3%
Memory size1.5 MiB
2020-12-02T12:24:17.835676image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q12
median3
Q33
95-th percentile4
Maximum4
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7258411109
Coefficient of variation (CV)0.2587273523
Kurtosis0.7762739407
Mean2.805428589
Median Absolute Deviation (MAD)0
Skewness-0.6052363504
Sum537666
Variance0.5268453183
MonotocityNot monotonic
2020-12-02T12:24:20.442304image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
311454259.8%
 
24293822.4%
 
42488013.0%
 
186444.5%
 
06480.3%
 
ValueCountFrequency (%) 
06480.3%
 
186444.5%
 
24293822.4%
 
311454259.8%
 
42488013.0%
 
ValueCountFrequency (%) 
42488013.0%
 
311454259.8%
 
24293822.4%
 
186444.5%
 
06480.3%
 

PLZ8_ANTG3
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.5 MiB
1
106539 
2
47221 
0
23001 
3
14891 
ValueCountFrequency (%) 
110653955.6%
 
24722124.6%
 
02300112.0%
 
3148917.8%
 
2020-12-02T12:24:20.555273image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

Overview of Unicode Properties

Unique unicode characters5
Unique unicode categories2 ?
Unique unicode scripts1 ?
Unique unicode blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
021465337.3%
 
.19165233.3%
 
110653918.5%
 
2472218.2%
 
3148912.6%
 

Most occurring categories

ValueCountFrequency (%) 
Decimal Number38330466.7%
 
Other Punctuation19165233.3%
 

Most frequent Decimal Number characters

ValueCountFrequency (%) 
021465356.0%
 
110653927.8%
 
24722112.3%
 
3148913.9%
 

Most frequent Other Punctuation characters

ValueCountFrequency (%) 
.191652100.0%
 

Most occurring scripts

ValueCountFrequency (%) 
Common574956100.0%
 

Most frequent Common characters

ValueCountFrequency (%) 
021465337.3%
 
.19165233.3%
 
110653918.5%
 
2472218.2%
 
3148912.6%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII574956100.0%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
021465337.3%
 
.19165233.3%
 
110653918.5%
 
2472218.2%
 
3148912.6%
 

PLZ8_ANTG4
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.5 MiB
0
127593 
1
53127 
2
 
10932
ValueCountFrequency (%) 
012759366.6%
 
15312727.7%
 
2109325.7%
 
2020-12-02T12:24:20.651575image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

Overview of Unicode Properties

Unique unicode characters4
Unique unicode categories2 ?
Unique unicode scripts1 ?
Unique unicode blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
031924555.5%
 
.19165233.3%
 
1531279.2%
 
2109321.9%
 

Most occurring categories

ValueCountFrequency (%) 
Decimal Number38330466.7%
 
Other Punctuation19165233.3%
 

Most frequent Decimal Number characters

ValueCountFrequency (%) 
031924583.3%
 
15312713.9%
 
2109322.9%
 

Most frequent Other Punctuation characters

ValueCountFrequency (%) 
.191652100.0%
 

Most occurring scripts

ValueCountFrequency (%) 
Common574956100.0%
 

Most frequent Common characters

ValueCountFrequency (%) 
031924555.5%
 
.19165233.3%
 
1531279.2%
 
2109321.9%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII574956100.0%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
031924555.5%
 
.19165233.3%
 
1531279.2%
 
2109321.9%
 

PLZ8_BAUMAX
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.403366518
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2020-12-02T12:24:20.735201image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.039567499
Coefficient of variation (CV)0.7407669241
Kurtosis5.760740763
Mean1.403366518
Median Absolute Deviation (MAD)0
Skewness2.649402154
Sum268958
Variance1.080700586
MonotocityNot monotonic
2020-12-02T12:24:20.825406image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
115945283.2%
 
2123156.4%
 
5101705.3%
 
448812.5%
 
348342.5%
 
ValueCountFrequency (%) 
115945283.2%
 
2123156.4%
 
348342.5%
 
448812.5%
 
5101705.3%
 
ValueCountFrequency (%) 
5101705.3%
 
448812.5%
 
348342.5%
 
2123156.4%
 
115945283.2%
 

PLZ8_GBZ
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.450895373
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2020-12-02T12:24:20.923166image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9023610567
Coefficient of variation (CV)0.2614860664
Kurtosis-0.1034705869
Mean3.450895373
Median Absolute Deviation (MAD)0
Skewness0.2452423609
Sum661371
Variance0.8142554766
MonotocityNot monotonic
2020-12-02T12:24:21.007890image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
310503454.8%
 
43898720.3%
 
53279817.1%
 
2114986.0%
 
133351.7%
 
ValueCountFrequency (%) 
133351.7%
 
2114986.0%
 
310503454.8%
 
43898720.3%
 
53279817.1%
 
ValueCountFrequency (%) 
53279817.1%
 
43898720.3%
 
310503454.8%
 
2114986.0%
 
133351.7%
 

PLZ8_HHZ
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.460099555
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2020-12-02T12:24:21.104320image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8438886336
Coefficient of variation (CV)0.2438914315
Kurtosis-0.2373815012
Mean3.460099555
Median Absolute Deviation (MAD)0
Skewness0.5292919539
Sum663135
Variance0.7121480258
MonotocityNot monotonic
2020-12-02T12:24:21.205728image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
311099657.9%
 
43837820.0%
 
53105316.2%
 
2101455.3%
 
110800.6%
 
ValueCountFrequency (%) 
110800.6%
 
2101455.3%
 
311099657.9%
 
43837820.0%
 
53105316.2%
 
ValueCountFrequency (%) 
53105316.2%
 
43837820.0%
 
311099657.9%
 
2101455.3%
 
110800.6%
 

PRAEGENDE_JUGENDJAHRE
Real number (ℝ≥0)

Distinct15
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.260252958
Minimum1
Maximum15
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2020-12-02T12:24:21.305167image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14
median4
Q36
95-th percentile11
Maximum15
Range14
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.987274671
Coefficient of variation (CV)0.5678956307
Kurtosis1.286453172
Mean5.260252958
Median Absolute Deviation (MAD)1
Skewness1.234528
Sum1008138
Variance8.923809962
MonotocityNot monotonic
2020-12-02T12:24:21.403640image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%) 
47070336.9%
 
32036110.6%
 
5177529.3%
 
6154578.1%
 
8149107.8%
 
2113165.9%
 
9111335.8%
 
1104055.4%
 
1162463.3%
 
1050332.6%
 
1436211.9%
 
1525501.3%
 
78640.5%
 
127140.4%
 
135870.3%
 
ValueCountFrequency (%) 
1104055.4%
 
2113165.9%
 
32036110.6%
 
47070336.9%
 
5177529.3%
 
6154578.1%
 
78640.5%
 
8149107.8%
 
9111335.8%
 
1050332.6%
 
ValueCountFrequency (%) 
1525501.3%
 
1436211.9%
 
135870.3%
 
127140.4%
 
1162463.3%
 
1050332.6%
 
9111335.8%
 
8149107.8%
 
78640.5%
 
6154578.1%
 

RELAT_AB
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.924519441
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2020-12-02T12:24:21.512974image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.220048648
Coefficient of variation (CV)0.4171791889
Kurtosis-0.5674606348
Mean2.924519441
Median Absolute Deviation (MAD)1
Skewness0.07061347737
Sum560490
Variance1.488518705
MonotocityNot monotonic
2020-12-02T12:24:21.607243image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
39251148.3%
 
13334117.4%
 
52906815.2%
 
22132611.1%
 
4154068.0%
 
ValueCountFrequency (%) 
13334117.4%
 
22132611.1%
 
39251148.3%
 
4154068.0%
 
52906815.2%
 
ValueCountFrequency (%) 
52906815.2%
 
4154068.0%
 
39251148.3%
 
22132611.1%
 
13334117.4%
 

RETOURTYP_BK_S
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.70430259
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2020-12-02T12:24:21.704523image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median3
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.108377848
Coefficient of variation (CV)0.2992136363
Kurtosis-1.050078069
Mean3.70430259
Median Absolute Deviation (MAD)1
Skewness-0.1086909309
Sum709937
Variance1.228501454
MonotocityNot monotonic
2020-12-02T12:24:21.792283image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
38651045.1%
 
57098537.0%
 
4156538.2%
 
2143667.5%
 
141382.2%
 
ValueCountFrequency (%) 
141382.2%
 
2143667.5%
 
38651045.1%
 
4156538.2%
 
57098537.0%
 
ValueCountFrequency (%) 
57098537.0%
 
4156538.2%
 
38651045.1%
 
2143667.5%
 
141382.2%
 

RT_KEIN_ANREIZ
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.437965688
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2020-12-02T12:24:21.892807image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q34
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.31777813
Coefficient of variation (CV)0.5405236572
Kurtosis-1.512465744
Mean2.437965688
Median Absolute Deviation (MAD)1
Skewness0.2239655266
Sum467241
Variance1.736539199
MonotocityNot monotonic
2020-12-02T12:24:21.978699image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
16974636.4%
 
45845230.5%
 
23642119.0%
 
32216011.6%
 
548732.5%
 
ValueCountFrequency (%) 
16974636.4%
 
23642119.0%
 
32216011.6%
 
45845230.5%
 
548732.5%
 
ValueCountFrequency (%) 
548732.5%
 
45845230.5%
 
32216011.6%
 
23642119.0%
 
16974636.4%
 

RT_SCHNAEPPCHEN
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.536420178
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2020-12-02T12:24:22.078757image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median5
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9337622277
Coefficient of variation (CV)0.2058368033
Kurtosis3.686988364
Mean4.536420178
Median Absolute Deviation (MAD)0
Skewness-2.11435244
Sum869414
Variance0.871911898
MonotocityNot monotonic
2020-12-02T12:24:22.172993image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
514349474.9%
 
42316812.1%
 
3126286.6%
 
290264.7%
 
133361.7%
 
ValueCountFrequency (%) 
133361.7%
 
290264.7%
 
3126286.6%
 
42316812.1%
 
514349474.9%
 
ValueCountFrequency (%) 
514349474.9%
 
42316812.1%
 
3126286.6%
 
290264.7%
 
133361.7%
 

RT_UEBERGROESSE
Real number (ℝ≥0)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.399828856
Minimum0
Maximum5
Zeros1903
Zeros (%)1.0%
Memory size1.5 MiB
2020-12-02T12:24:22.269297image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median2
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.209606843
Coefficient of variation (CV)0.5040387942
Kurtosis-0.0005514509985
Mean2.399828856
Median Absolute Deviation (MAD)1
Skewness0.8443992334
Sum459932
Variance1.463148715
MonotocityNot monotonic
2020-12-02T12:24:22.365184image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
28970246.8%
 
13691319.3%
 
32929815.3%
 
52037710.6%
 
4134597.0%
 
019031.0%
 
ValueCountFrequency (%) 
019031.0%
 
13691319.3%
 
28970246.8%
 
32929815.3%
 
4134597.0%
 
52037710.6%
 
ValueCountFrequency (%) 
52037710.6%
 
4134597.0%
 
32929815.3%
 
28970246.8%
 
13691319.3%
 
019031.0%
 

SEMIO_DOM
Real number (ℝ≥0)

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.483835285
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2020-12-02T12:24:22.458681image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median5
Q36
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.631940929
Coefficient of variation (CV)0.3639609453
Kurtosis-0.9623202524
Mean4.483835285
Median Absolute Deviation (MAD)1
Skewness-0.3881830332
Sum859336
Variance2.663231195
MonotocityNot monotonic
2020-12-02T12:24:22.546671image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%) 
65778830.2%
 
35021326.2%
 
54194921.9%
 
7117506.1%
 
2116456.1%
 
494594.9%
 
188484.6%
 
ValueCountFrequency (%) 
188484.6%
 
2116456.1%
 
35021326.2%
 
494594.9%
 
54194921.9%
 
65778830.2%
 
7117506.1%
 
ValueCountFrequency (%) 
7117506.1%
 
65778830.2%
 
54194921.9%
 
494594.9%
 
35021326.2%
 
2116456.1%
 
188484.6%
 

SEMIO_ERL
Real number (ℝ≥0)

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.408020788
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2020-12-02T12:24:22.639423image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q13
median4
Q36
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.72090874
Coefficient of variation (CV)0.390403953
Kurtosis-1.294525267
Mean4.408020788
Median Absolute Deviation (MAD)1
Skewness0.5593272693
Sum844806
Variance2.961526892
MonotocityNot monotonic
2020-12-02T12:24:22.716771image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%) 
38641545.1%
 
74736524.7%
 
43648019.0%
 
6151487.9%
 
226981.4%
 
520641.1%
 
114820.8%
 
ValueCountFrequency (%) 
114820.8%
 
226981.4%
 
38641545.1%
 
43648019.0%
 
520641.1%
 
6151487.9%
 
74736524.7%
 
ValueCountFrequency (%) 
74736524.7%
 
6151487.9%
 
520641.1%
 
43648019.0%
 
38641545.1%
 
226981.4%
 
114820.8%
 

SEMIO_FAM
Real number (ℝ≥0)

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.414026465
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2020-12-02T12:24:22.800720image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median5
Q36
95-th percentile6
Maximum7
Range6
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.733128068
Coefficient of variation (CV)0.3926410686
Kurtosis-0.9264928065
Mean4.414026465
Median Absolute Deviation (MAD)1
Skewness-0.5926898725
Sum845957
Variance3.0037329
MonotocityNot monotonic
2020-12-02T12:24:22.901108image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%) 
67320938.2%
 
43110016.2%
 
52674514.0%
 
22255411.8%
 
3179599.4%
 
1151677.9%
 
749182.6%
 
ValueCountFrequency (%) 
1151677.9%
 
22255411.8%
 
3179599.4%
 
43110016.2%
 
52674514.0%
 
67320938.2%
 
749182.6%
 
ValueCountFrequency (%) 
749182.6%
 
67320938.2%
 
52674514.0%
 
43110016.2%
 
3179599.4%
 
22255411.8%
 
1151677.9%
 

SEMIO_KAEM
Real number (ℝ≥0)

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.187245633
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2020-12-02T12:24:23.015372image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median4
Q36
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.872047112
Coefficient of variation (CV)0.4470831846
Kurtosis-1.363369895
Mean4.187245633
Median Absolute Deviation (MAD)2
Skewness-0.1802487997
Sum802494
Variance3.50456039
MonotocityNot monotonic
2020-12-02T12:24:23.124567image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%) 
66652834.7%
 
35272527.5%
 
22004210.5%
 
1180259.4%
 
5160008.3%
 
7112385.9%
 
470943.7%
 
ValueCountFrequency (%) 
1180259.4%
 
22004210.5%
 
35272527.5%
 
470943.7%
 
5160008.3%
 
66652834.7%
 
7112385.9%
 
ValueCountFrequency (%) 
7112385.9%
 
66652834.7%
 
5160008.3%
 
470943.7%
 
35272527.5%
 
22004210.5%
 
1180259.4%
 

SEMIO_KRIT
Real number (ℝ≥0)

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.674535095
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2020-12-02T12:24:23.219837image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median5
Q37
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.041058635
Coefficient of variation (CV)0.4366335033
Kurtosis-1.297746471
Mean4.674535095
Median Absolute Deviation (MAD)2
Skewness-0.2053341751
Sum895884
Variance4.16592035
MonotocityNot monotonic
2020-12-02T12:24:23.311050image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%) 
76419033.5%
 
36017931.4%
 
51950010.2%
 
1174759.1%
 
6163208.5%
 
4125736.6%
 
214150.7%
 
ValueCountFrequency (%) 
1174759.1%
 
214150.7%
 
36017931.4%
 
4125736.6%
 
51950010.2%
 
6163208.5%
 
76419033.5%
 
ValueCountFrequency (%) 
76419033.5%
 
6163208.5%
 
51950010.2%
 
4125736.6%
 
36017931.4%
 
214150.7%
 
1174759.1%
 

SEMIO_KULT
Real number (ℝ≥0)

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.682497443
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2020-12-02T12:24:23.405454image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median4
Q35
95-th percentile6
Maximum7
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.573090127
Coefficient of variation (CV)0.4271802361
Kurtosis-0.6129899191
Mean3.682497443
Median Absolute Deviation (MAD)1
Skewness-0.00719480503
Sum705758
Variance2.474612548
MonotocityNot monotonic
2020-12-02T12:24:23.489328image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%) 
35741030.0%
 
44391922.9%
 
52587513.5%
 
12573213.4%
 
62536713.2%
 
285804.5%
 
747692.5%
 
ValueCountFrequency (%) 
12573213.4%
 
285804.5%
 
35741030.0%
 
44391922.9%
 
52587513.5%
 
62536713.2%
 
747692.5%
 
ValueCountFrequency (%) 
747692.5%
 
62536713.2%
 
52587513.5%
 
44391922.9%
 
35741030.0%
 
285804.5%
 
12573213.4%
 

SEMIO_LUST
Real number (ℝ≥0)

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.366476739
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2020-12-02T12:24:23.583506image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q15
median5
Q37
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.443103117
Coefficient of variation (CV)0.2689107188
Kurtosis1.079596428
Mean5.366476739
Median Absolute Deviation (MAD)1
Skewness-0.9070567185
Sum1028496
Variance2.082546607
MonotocityNot monotonic
2020-12-02T12:24:23.672079image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%) 
57459838.9%
 
75768130.1%
 
42435912.7%
 
62195211.5%
 
163023.3%
 
239912.1%
 
327691.4%
 
ValueCountFrequency (%) 
163023.3%
 
239912.1%
 
327691.4%
 
42435912.7%
 
57459838.9%
 
62195211.5%
 
75768130.1%
 
ValueCountFrequency (%) 
75768130.1%
 
62195211.5%
 
57459838.9%
 
42435912.7%
 
327691.4%
 
239912.1%
 
163023.3%
 

SEMIO_MAT
Real number (ℝ≥0)

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.883163233
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2020-12-02T12:24:23.762046image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q35
95-th percentile6
Maximum7
Range6
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.840130675
Coefficient of variation (CV)0.4738741497
Kurtosis-1.219700634
Mean3.883163233
Median Absolute Deviation (MAD)2
Skewness-0.3838452685
Sum744216
Variance3.386080903
MonotocityNot monotonic
2020-12-02T12:24:23.841986image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%) 
55365828.0%
 
63705419.3%
 
13572218.6%
 
42701514.1%
 
21991310.4%
 
3145097.6%
 
737812.0%
 
ValueCountFrequency (%) 
13572218.6%
 
21991310.4%
 
3145097.6%
 
42701514.1%
 
55365828.0%
 
63705419.3%
 
737812.0%
 
ValueCountFrequency (%) 
737812.0%
 
63705419.3%
 
55365828.0%
 
42701514.1%
 
3145097.6%
 
21991310.4%
 
13572218.6%
 

SEMIO_PFLICHT
Real number (ℝ≥0)

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.528254336
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2020-12-02T12:24:23.932168image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q35
95-th percentile5
Maximum7
Range6
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.493916302
Coefficient of variation (CV)0.4234151395
Kurtosis-0.8635096163
Mean3.528254336
Median Absolute Deviation (MAD)1
Skewness-0.1434945519
Sum676197
Variance2.231785917
MonotocityNot monotonic
2020-12-02T12:24:24.026970image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%) 
55720929.9%
 
44009420.9%
 
23324517.3%
 
33172016.6%
 
12239411.7%
 
737922.0%
 
631981.7%
 
ValueCountFrequency (%) 
12239411.7%
 
23324517.3%
 
33172016.6%
 
44009420.9%
 
55720929.9%
 
631981.7%
 
737922.0%
 
ValueCountFrequency (%) 
737922.0%
 
631981.7%
 
55720929.9%
 
44009420.9%
 
33172016.6%
 
23324517.3%
 
12239411.7%
 

SEMIO_RAT
Real number (ℝ≥0)

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.16587878
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2020-12-02T12:24:24.112696image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum7
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.31622125
Coefficient of variation (CV)0.4157522575
Kurtosis-0.2915751031
Mean3.16587878
Median Absolute Deviation (MAD)1
Skewness-0.006427141384
Sum606747
Variance1.732438379
MonotocityNot monotonic
2020-12-02T12:24:24.191891image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%) 
46715535.0%
 
34466823.3%
 
22983315.6%
 
12817114.7%
 
5169248.8%
 
626411.4%
 
722601.2%
 
ValueCountFrequency (%) 
12817114.7%
 
22983315.6%
 
34466823.3%
 
46715535.0%
 
5169248.8%
 
626411.4%
 
722601.2%
 
ValueCountFrequency (%) 
722601.2%
 
626411.4%
 
5169248.8%
 
46715535.0%
 
34466823.3%
 
22983315.6%
 
12817114.7%
 

SEMIO_REL
Real number (ℝ≥0)

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.112787761
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2020-12-02T12:24:24.277052image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q37
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)5

Descriptive statistics

Standard deviation2.070958407
Coefficient of variation (CV)0.5035412784
Kurtosis-1.248722527
Mean4.112787761
Median Absolute Deviation (MAD)2
Skewness0.1823009609
Sum788224
Variance4.288868724
MonotocityNot monotonic
2020-12-02T12:24:24.356896image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%) 
75101226.6%
 
43820919.9%
 
33256717.0%
 
22959315.4%
 
12069510.8%
 
5167348.7%
 
628421.5%
 
ValueCountFrequency (%) 
12069510.8%
 
22959315.4%
 
33256717.0%
 
43820919.9%
 
5167348.7%
 
628421.5%
 
75101226.6%
 
ValueCountFrequency (%) 
75101226.6%
 
628421.5%
 
5167348.7%
 
43820919.9%
 
33256717.0%
 
22959315.4%
 
12069510.8%
 

SEMIO_SOZ
Real number (ℝ≥0)

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.74213679
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2020-12-02T12:24:24.450188image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median3
Q36
95-th percentile6
Maximum7
Range6
Interquartile range (IQR)4

Descriptive statistics

Standard deviation1.718039291
Coefficient of variation (CV)0.4591064912
Kurtosis-1.375940563
Mean3.74213679
Median Absolute Deviation (MAD)1
Skewness0.2940602431
Sum717188
Variance2.951659006
MonotocityNot monotonic
2020-12-02T12:24:24.532919image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%) 
26230232.5%
 
64783525.0%
 
33154216.5%
 
42623113.7%
 
5134177.0%
 
155562.9%
 
747692.5%
 
ValueCountFrequency (%) 
155562.9%
 
26230232.5%
 
33154216.5%
 
42623113.7%
 
5134177.0%
 
64783525.0%
 
747692.5%
 
ValueCountFrequency (%) 
747692.5%
 
64783525.0%
 
5134177.0%
 
42623113.7%
 
33154216.5%
 
26230232.5%
 
155562.9%
 

SEMIO_TRADV
Real number (ℝ≥0)

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.919160771
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2020-12-02T12:24:24.620154image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile4
Maximum7
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.219223944
Coefficient of variation (CV)0.4176624857
Kurtosis0.268519283
Mean2.919160771
Median Absolute Deviation (MAD)1
Skewness0.1016729042
Sum559463
Variance1.486507025
MonotocityNot monotonic
2020-12-02T12:24:24.698533image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%) 
37011536.6%
 
45494528.7%
 
13525718.4%
 
22280611.9%
 
547692.5%
 
720641.1%
 
616960.9%
 
ValueCountFrequency (%) 
13525718.4%
 
22280611.9%
 
37011536.6%
 
45494528.7%
 
547692.5%
 
616960.9%
 
720641.1%
 
ValueCountFrequency (%) 
720641.1%
 
616960.9%
 
547692.5%
 
45494528.7%
 
37011536.6%
 
22280611.9%
 
13525718.4%
 

SEMIO_VERT
Real number (ℝ≥0)

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.185278526
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2020-12-02T12:24:24.782809image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median5
Q36
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)5

Descriptive statistics

Standard deviation2.367406672
Coefficient of variation (CV)0.5656509256
Kurtosis-1.539957163
Mean4.185278526
Median Absolute Deviation (MAD)2
Skewness-0.2238432493
Sum802117
Variance5.60461435
MonotocityNot monotonic
2020-12-02T12:24:24.863652image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%) 
15037926.3%
 
74654924.3%
 
62919215.2%
 
52515413.1%
 
4187879.8%
 
2149487.8%
 
366433.5%
 
ValueCountFrequency (%) 
15037926.3%
 
2149487.8%
 
366433.5%
 
4187879.8%
 
52515413.1%
 
62919215.2%
 
74654924.3%
 
ValueCountFrequency (%) 
74654924.3%
 
62919215.2%
 
52515413.1%
 
4187879.8%
 
366433.5%
 
2149487.8%
 
15037926.3%
 

SHOPPER_TYP
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.5 MiB
3
100024 
1
37955 
0
30054 
2
23619 
ValueCountFrequency (%) 
310002452.2%
 
13795519.8%
 
03005415.7%
 
22361912.3%
 
2020-12-02T12:24:24.976121image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

Overview of Unicode Properties

Unique unicode characters5
Unique unicode categories2 ?
Unique unicode scripts1 ?
Unique unicode blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
022170638.6%
 
.19165233.3%
 
310002417.4%
 
1379556.6%
 
2236194.1%
 

Most occurring categories

ValueCountFrequency (%) 
Decimal Number38330466.7%
 
Other Punctuation19165233.3%
 

Most frequent Decimal Number characters

ValueCountFrequency (%) 
022170657.8%
 
310002426.1%
 
1379559.9%
 
2236196.2%
 

Most frequent Other Punctuation characters

ValueCountFrequency (%) 
.191652100.0%
 

Most occurring scripts

ValueCountFrequency (%) 
Common574956100.0%
 

Most frequent Common characters

ValueCountFrequency (%) 
022170638.6%
 
.19165233.3%
 
310002417.4%
 
1379556.6%
 
2236194.1%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII574956100.0%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
022170638.6%
 
.19165233.3%
 
310002417.4%
 
1379556.6%
 
2236194.1%
 

SOHO_KZ
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.5 MiB
0
190221 
1
 
1431
ValueCountFrequency (%) 
019022199.3%
 
114310.7%
 

STRUKTURTYP
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.5 MiB
3
150388 
2
21506 
1
19758 
ValueCountFrequency (%) 
315038878.5%
 
22150611.2%
 
11975810.3%
 
2020-12-02T12:24:25.105603image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

Overview of Unicode Properties

Unique unicode characters5
Unique unicode categories2 ?
Unique unicode scripts1 ?
Unique unicode blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
.19165233.3%
 
019165233.3%
 
315038826.2%
 
2215063.7%
 
1197583.4%
 

Most occurring categories

ValueCountFrequency (%) 
Decimal Number38330466.7%
 
Other Punctuation19165233.3%
 

Most frequent Decimal Number characters

ValueCountFrequency (%) 
019165250.0%
 
315038839.2%
 
2215065.6%
 
1197585.2%
 

Most frequent Other Punctuation characters

ValueCountFrequency (%) 
.191652100.0%
 

Most occurring scripts

ValueCountFrequency (%) 
Common574956100.0%
 

Most frequent Common characters

ValueCountFrequency (%) 
.19165233.3%
 
019165233.3%
 
315038826.2%
 
2215063.7%
 
1197583.4%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII574956100.0%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
.19165233.3%
 
019165233.3%
 
315038826.2%
 
2215063.7%
 
1197583.4%
 

UMFELD_ALT
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.97643124
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2020-12-02T12:24:25.208200image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.126358695
Coefficient of variation (CV)0.3784259081
Kurtosis-0.4159568506
Mean2.97643124
Median Absolute Deviation (MAD)1
Skewness-0.05321833434
Sum570439
Variance1.268683909
MonotocityNot monotonic
2020-12-02T12:24:25.291636image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
38740945.6%
 
43123716.3%
 
22667013.9%
 
12543913.3%
 
52089710.9%
 
ValueCountFrequency (%) 
12543913.3%
 
22667013.9%
 
38740945.6%
 
43123716.3%
 
52089710.9%
 
ValueCountFrequency (%) 
52089710.9%
 
43123716.3%
 
38740945.6%
 
22667013.9%
 
12543913.3%
 

UMFELD_JUNG
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.510612986
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2020-12-02T12:24:25.399761image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q14
median5
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.890353616
Coefficient of variation (CV)0.1973908244
Kurtosis3.823956158
Mean4.510612986
Median Absolute Deviation (MAD)0
Skewness-2.032879388
Sum864468
Variance0.7927295615
MonotocityNot monotonic
2020-12-02T12:24:25.489958image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
513410370.0%
 
43375617.6%
 
3146687.7%
 
258003.0%
 
133251.7%
 
ValueCountFrequency (%) 
133251.7%
 
258003.0%
 
3146687.7%
 
43375617.6%
 
513410370.0%
 
ValueCountFrequency (%) 
513410370.0%
 
43375617.6%
 
3146687.7%
 
258003.0%
 
133251.7%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.5 MiB
0
179359 
1
 
12293
ValueCountFrequency (%) 
017935993.6%
 
1122936.4%
 

VERDICHTUNGSRAUM
Real number (ℝ≥0)

ZEROS

Distinct46
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.723712771
Minimum0
Maximum45
Zeros116460
Zeros (%)60.8%
Memory size1.5 MiB
2020-12-02T12:24:25.621929image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q33
95-th percentile24
Maximum45
Range45
Interquartile range (IQR)3

Descriptive statistics

Standard deviation8.245507383
Coefficient of variation (CV)2.214324221
Kurtosis7.919116842
Mean3.723712771
Median Absolute Deviation (MAD)0
Skewness2.850773922
Sum713657
Variance67.988392
MonotocityNot monotonic
2020-12-02T12:24:25.744738image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%) 
011646060.8%
 
12085710.9%
 
367993.5%
 
664493.4%
 
451842.7%
 
237321.9%
 
732981.7%
 
827661.4%
 
520631.1%
 
2417600.9%
 
1216270.8%
 
1715450.8%
 
1812830.7%
 
1111550.6%
 
1611420.6%
 
3310670.6%
 
2510600.6%
 
279940.5%
 
139070.5%
 
238910.5%
 
108310.4%
 
97680.4%
 
327600.4%
 
297070.4%
 
147010.4%
 
Other values (21)68463.6%
 
ValueCountFrequency (%) 
011646060.8%
 
12085710.9%
 
237321.9%
 
367993.5%
 
451842.7%
 
520631.1%
 
664493.4%
 
732981.7%
 
827661.4%
 
97680.4%
 
ValueCountFrequency (%) 
453780.2%
 
444640.2%
 
431450.1%
 
424480.2%
 
4171< 0.1%
 
4059< 0.1%
 
391960.1%
 
385920.3%
 
3764< 0.1%
 
366380.3%
 

VERS_TYP
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.5 MiB
1
122610 
2
69042 
ValueCountFrequency (%) 
112261064.0%
 
26904236.0%
 
2020-12-02T12:24:25.862400image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

Overview of Unicode Properties

Unique unicode characters4
Unique unicode categories2 ?
Unique unicode scripts1 ?
Unique unicode blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
.19165233.3%
 
019165233.3%
 
112261021.3%
 
26904212.0%
 

Most occurring categories

ValueCountFrequency (%) 
Decimal Number38330466.7%
 
Other Punctuation19165233.3%
 

Most frequent Decimal Number characters

ValueCountFrequency (%) 
019165250.0%
 
112261032.0%
 
26904218.0%
 

Most frequent Other Punctuation characters

ValueCountFrequency (%) 
.191652100.0%
 

Most occurring scripts

ValueCountFrequency (%) 
Common574956100.0%
 

Most frequent Common characters

ValueCountFrequency (%) 
.19165233.3%
 
019165233.3%
 
112261021.3%
 
26904212.0%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII574956100.0%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
.19165233.3%
 
019165233.3%
 
112261021.3%
 
26904212.0%
 

VHA
Real number (ℝ≥0)

ZEROS

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6573685639
Minimum0
Maximum5
Zeros120846
Zeros (%)63.1%
Memory size1.5 MiB
2020-12-02T12:24:25.949039image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile4
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.207743745
Coefficient of variation (CV)1.837239886
Kurtosis5.167177553
Mean0.6573685639
Median Absolute Deviation (MAD)0
Skewness2.390369093
Sum125986
Variance1.458644954
MonotocityNot monotonic
2020-12-02T12:24:26.033636image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
012084663.1%
 
15237627.3%
 
570013.7%
 
452592.7%
 
352292.7%
 
29410.5%
 
ValueCountFrequency (%) 
012084663.1%
 
15237627.3%
 
29410.5%
 
352292.7%
 
452592.7%
 
570013.7%
 
ValueCountFrequency (%) 
570013.7%
 
452592.7%
 
352292.7%
 
29410.5%
 
15237627.3%
 
012084663.1%
 

VHN
Real number (ℝ≥0)

ZEROS

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.30790704
Minimum0
Maximum4
Zeros5804
Zeros (%)3.0%
Memory size1.5 MiB
2020-12-02T12:24:26.118742image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median2
Q33
95-th percentile4
Maximum4
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9917534064
Coefficient of variation (CV)0.4297198238
Kurtosis-0.2707118508
Mean2.30790704
Median Absolute Deviation (MAD)0
Skewness0.1920551611
Sum442315
Variance0.9835748192
MonotocityNot monotonic
2020-12-02T12:24:26.201757image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
29810951.2%
 
43190616.6%
 
33132016.3%
 
12451312.8%
 
058043.0%
 
ValueCountFrequency (%) 
058043.0%
 
12451312.8%
 
29810951.2%
 
33132016.3%
 
43190616.6%
 
ValueCountFrequency (%) 
43190616.6%
 
33132016.3%
 
29810951.2%
 
12451312.8%
 
058043.0%
 

VK_DHT4A
Real number (ℝ≥0)

Distinct11
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.53155198
Minimum1
Maximum11
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2020-12-02T12:24:26.292290image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q36
95-th percentile9
Maximum11
Range10
Interquartile range (IQR)5

Descriptive statistics

Standard deviation2.923956356
Coefficient of variation (CV)0.8279522353
Kurtosis-0.6579674353
Mean3.53155198
Median Absolute Deviation (MAD)1
Skewness0.8447951381
Sum676829
Variance8.54952077
MonotocityNot monotonic
2020-12-02T12:24:26.426006image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%) 
17961841.5%
 
22112011.0%
 
3167688.7%
 
7142827.5%
 
4115096.0%
 
6113655.9%
 
5106855.6%
 
1088654.6%
 
988424.6%
 
885884.5%
 
1110< 0.1%
 
ValueCountFrequency (%) 
17961841.5%
 
22112011.0%
 
3167688.7%
 
4115096.0%
 
5106855.6%
 
6113655.9%
 
7142827.5%
 
885884.5%
 
988424.6%
 
1088654.6%
 
ValueCountFrequency (%) 
1110< 0.1%
 
1088654.6%
 
988424.6%
 
885884.5%
 
7142827.5%
 
6113655.9%
 
5106855.6%
 
4115096.0%
 
3167688.7%
 
22112011.0%
 

VK_DISTANZ
Real number (ℝ≥0)

Distinct13
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.67435769
Minimum1
Maximum13
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2020-12-02T12:24:26.539983image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q36
95-th percentile9
Maximum13
Range12
Interquartile range (IQR)5

Descriptive statistics

Standard deviation2.938423654
Coefficient of variation (CV)0.7997108344
Kurtosis-0.1424727942
Mean3.67435769
Median Absolute Deviation (MAD)2
Skewness0.8918494723
Sum704198
Variance8.634333572
MonotocityNot monotonic
2020-12-02T12:24:26.645347image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%) 
17560739.5%
 
32237811.7%
 
62076910.8%
 
4152628.0%
 
2131726.9%
 
7126126.6%
 
892724.8%
 
582234.3%
 
959053.1%
 
1034061.8%
 
1126031.4%
 
1217210.9%
 
137220.4%
 
ValueCountFrequency (%) 
17560739.5%
 
2131726.9%
 
32237811.7%
 
4152628.0%
 
582234.3%
 
62076910.8%
 
7126126.6%
 
892724.8%
 
959053.1%
 
1034061.8%
 
ValueCountFrequency (%) 
137220.4%
 
1217210.9%
 
1126031.4%
 
1034061.8%
 
959053.1%
 
892724.8%
 
7126126.6%
 
62076910.8%
 
582234.3%
 
4152628.0%
 

VK_ZG11
Real number (ℝ≥0)

Distinct11
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.62712625
Minimum1
Maximum11
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2020-12-02T12:24:26.739050image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q34
95-th percentile7
Maximum11
Range10
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.150353021
Coefficient of variation (CV)0.818519103
Kurtosis2.713959247
Mean2.62712625
Median Absolute Deviation (MAD)1
Skewness1.677060812
Sum503494
Variance4.624018117
MonotocityNot monotonic
2020-12-02T12:24:26.851535image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%) 
18471744.2%
 
23319217.3%
 
32541213.3%
 
4170128.9%
 
5122256.4%
 
666253.5%
 
735221.8%
 
831131.6%
 
925821.3%
 
1119181.0%
 
1013340.7%
 
ValueCountFrequency (%) 
18471744.2%
 
23319217.3%
 
32541213.3%
 
4170128.9%
 
5122256.4%
 
666253.5%
 
735221.8%
 
831131.6%
 
925821.3%
 
1013340.7%
 
ValueCountFrequency (%) 
1119181.0%
 
1013340.7%
 
925821.3%
 
831131.6%
 
735221.8%
 
666253.5%
 
5122256.4%
 
4170128.9%
 
32541213.3%
 
23319217.3%
 

W_KEIT_KIND_HH
Real number (ℝ≥0)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.770745935
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2020-12-02T12:24:26.940990image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median6
Q36
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.774652845
Coefficient of variation (CV)0.3719864501
Kurtosis-0.6545559593
Mean4.770745935
Median Absolute Deviation (MAD)0
Skewness-0.9971618995
Sum914323
Variance3.14939272
MonotocityNot monotonic
2020-12-02T12:24:27.030428image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
612077863.0%
 
22559613.4%
 
4145157.6%
 
1126476.6%
 
3114126.0%
 
567043.5%
 
ValueCountFrequency (%) 
1126476.6%
 
22559613.4%
 
3114126.0%
 
4145157.6%
 
567043.5%
 
612077863.0%
 
ValueCountFrequency (%) 
612077863.0%
 
567043.5%
 
4145157.6%
 
3114126.0%
 
22559613.4%
 
1126476.6%
 

WOHNDAUER_2008
Real number (ℝ≥0)

Distinct9
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.732348214
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2020-12-02T12:24:27.126411image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7
Q19
median9
Q39
95-th percentile9
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.015356914
Coefficient of variation (CV)0.116275358
Kurtosis18.96741267
Mean8.732348214
Median Absolute Deviation (MAD)0
Skewness-4.344244645
Sum1673572
Variance1.030949664
MonotocityNot monotonic
2020-12-02T12:24:27.216573image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%) 
917386290.7%
 
869243.6%
 
424761.3%
 
623511.2%
 
321151.1%
 
719931.0%
 
517840.9%
 
1980.1%
 
249< 0.1%
 
ValueCountFrequency (%) 
1980.1%
 
249< 0.1%
 
321151.1%
 
424761.3%
 
517840.9%
 
623511.2%
 
719931.0%
 
869243.6%
 
917386290.7%
 
ValueCountFrequency (%) 
917386290.7%
 
869243.6%
 
719931.0%
 
623511.2%
 
517840.9%
 
424761.3%
 
321151.1%
 
249< 0.1%
 
1980.1%
 

WOHNLAGE
Real number (ℝ≥0)

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.534750485
Minimum0
Maximum8
Zeros1107
Zeros (%)0.6%
Memory size1.5 MiB
2020-12-02T12:24:27.314620image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q13
median3
Q34
95-th percentile7
Maximum8
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.82976836
Coefficient of variation (CV)0.5176513497
Kurtosis-0.00504419243
Mean3.534750485
Median Absolute Deviation (MAD)1
Skewness0.9379056809
Sum677442
Variance3.34805225
MonotocityNot monotonic
2020-12-02T12:24:27.404999image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
39500149.6%
 
73132816.3%
 
22442712.7%
 
1165678.6%
 
4150967.9%
 
558903.1%
 
822361.2%
 
011070.6%
 
ValueCountFrequency (%) 
011070.6%
 
1165678.6%
 
22442712.7%
 
39500149.6%
 
4150967.9%
 
558903.1%
 
73132816.3%
 
822361.2%
 
ValueCountFrequency (%) 
822361.2%
 
73132816.3%
 
558903.1%
 
4150967.9%
 
39500149.6%
 
22442712.7%
 
1165678.6%
 
011070.6%
 

ZABEOTYP
Real number (ℝ≥0)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.576805877
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2020-12-02T12:24:27.490327image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q33
95-th percentile4
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.168485772
Coefficient of variation (CV)0.4534628635
Kurtosis0.4729641663
Mean2.576805877
Median Absolute Deviation (MAD)0
Skewness0.2822703633
Sum493850
Variance1.365358999
MonotocityNot monotonic
2020-12-02T12:24:27.576016image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
310868256.7%
 
15434728.4%
 
4148097.7%
 
268993.6%
 
658483.1%
 
510670.6%
 
ValueCountFrequency (%) 
15434728.4%
 
268993.6%
 
310868256.7%
 
4148097.7%
 
510670.6%
 
658483.1%
 
ValueCountFrequency (%) 
658483.1%
 
510670.6%
 
4148097.7%
 
310868256.7%
 
268993.6%
 
15434728.4%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.5 MiB
0
174356 
1
 
17296
ValueCountFrequency (%) 
017435691.0%
 
1172969.0%
 

ANREDE_KZ
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.5 MiB
1
119508 
2
72144 
ValueCountFrequency (%) 
111950862.4%
 
27214437.6%
 
2020-12-02T12:24:27.673030image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

Overview of Unicode Properties

Unique unicode characters2
Unique unicode categories1 ?
Unique unicode scripts1 ?
Unique unicode blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
111950862.4%
 
27214437.6%
 

Most occurring categories

ValueCountFrequency (%) 
Decimal Number191652100.0%
 

Most frequent Decimal Number characters

ValueCountFrequency (%) 
111950862.4%
 
27214437.6%
 

Most occurring scripts

ValueCountFrequency (%) 
Common191652100.0%
 

Most frequent Common characters

ValueCountFrequency (%) 
111950862.4%
 
27214437.6%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII191652100.0%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
111950862.4%
 
27214437.6%
 

ALTERSKATEGORIE_GROB
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.060907269
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2020-12-02T12:24:27.767341image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median3
Q34
95-th percentile4
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.08625367
Coefficient of variation (CV)0.3548796401
Kurtosis0.3778795139
Mean3.060907269
Median Absolute Deviation (MAD)1
Skewness-0.6090711038
Sum586629
Variance1.179947036
MonotocityNot monotonic
2020-12-02T12:24:27.856572image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
48583444.8%
 
35836430.5%
 
12838714.8%
 
2188279.8%
 
92400.1%
 
ValueCountFrequency (%) 
12838714.8%
 
2188279.8%
 
35836430.5%
 
48583444.8%
 
92400.1%
 
ValueCountFrequency (%) 
92400.1%
 
48583444.8%
 
35836430.5%
 
2188279.8%
 
12838714.8%
 

EINGEFUEGT_AM_YEAR
Real number (ℝ≥0)

Distinct25
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1993.140025
Minimum1992
Maximum2016
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2020-12-02T12:24:27.987615image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1992
5-th percentile1992
Q11992
median1992
Q31992
95-th percentile2002
Maximum2016
Range24
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.372003741
Coefficient of variation (CV)0.00169180474
Kurtosis13.96358481
Mean1993.140025
Median Absolute Deviation (MAD)0
Skewness3.67116021
Sum381989272
Variance11.37040923
MonotocityNot monotonic
2020-12-02T12:24:28.114002image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%) 
199215882882.9%
 
199556543.0%
 
199651052.7%
 
199338842.0%
 
199736571.9%
 
199428211.5%
 
200521511.1%
 
200316980.9%
 
200411030.6%
 
20009570.5%
 
20068980.5%
 
20076490.3%
 
20085790.3%
 
19985460.3%
 
20025410.3%
 
20094860.3%
 
20123560.2%
 
20113430.2%
 
20132860.1%
 
20102840.1%
 
20012600.1%
 
20142240.1%
 
20151660.1%
 
19991660.1%
 
201610< 0.1%
 
ValueCountFrequency (%) 
199215882882.9%
 
199338842.0%
 
199428211.5%
 
199556543.0%
 
199651052.7%
 
199736571.9%
 
19985460.3%
 
19991660.1%
 
20009570.5%
 
20012600.1%
 
ValueCountFrequency (%) 
201610< 0.1%
 
20151660.1%
 
20142240.1%
 
20132860.1%
 
20123560.2%
 
20113430.2%
 
20102840.1%
 
20094860.3%
 
20085790.3%
 
20076490.3%
 

EINGEFUEGT_AM_MONTH
Real number (ℝ≥0)

Distinct12
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.792185837
Minimum1
Maximum12
Zeros0
Zeros (%)0.0%
Memory size1.5 MiB
2020-12-02T12:24:28.221265image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median2
Q32
95-th percentile9
Maximum12
Range11
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.274547519
Coefficient of variation (CV)0.814611796
Kurtosis6.839406459
Mean2.792185837
Median Absolute Deviation (MAD)0
Skewness2.836105418
Sum535128
Variance5.173566418
MonotocityNot monotonic
2020-12-02T12:24:28.321181image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%) 
216189884.5%
 
333751.8%
 
932411.7%
 
1131891.7%
 
1029651.5%
 
829281.5%
 
1227771.4%
 
427461.4%
 
723931.2%
 
123741.2%
 
521441.1%
 
616220.8%
 
ValueCountFrequency (%) 
123741.2%
 
216189884.5%
 
333751.8%
 
427461.4%
 
521441.1%
 
616220.8%
 
723931.2%
 
829281.5%
 
932411.7%
 
1029651.5%
 
ValueCountFrequency (%) 
1227771.4%
 
1131891.7%
 
1029651.5%
 
932411.7%
 
829281.5%
 
723931.2%
 
616220.8%
 
521441.1%
 
427461.4%
 
333751.8%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size187.3 KiB
0
187454 
1
 
4198
ValueCountFrequency (%) 
018745497.8%
 
141982.2%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size187.3 KiB
0
190495 
1
 
1157
ValueCountFrequency (%) 
019049599.4%
 
111570.6%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size187.3 KiB
0
189446 
1
 
2206
ValueCountFrequency (%) 
018944698.8%
 
122061.2%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size187.3 KiB
0
185772 
1
 
5880
ValueCountFrequency (%) 
018577296.9%
 
158803.1%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size187.3 KiB
0
188315 
1
 
3337
ValueCountFrequency (%) 
018831598.3%
 
133371.7%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size187.3 KiB
0
187937 
1
 
3715
ValueCountFrequency (%) 
018793798.1%
 
137151.9%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size187.3 KiB
0
188167 
1
 
3485
ValueCountFrequency (%) 
018816798.2%
 
134851.8%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size187.3 KiB
0
186576 
1
 
5076
ValueCountFrequency (%) 
018657697.4%
 
150762.6%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size187.3 KiB
0
180444 
1
 
11208
ValueCountFrequency (%) 
018044494.2%
 
1112085.8%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size187.3 KiB
0
189748 
1
 
1904
ValueCountFrequency (%) 
018974899.0%
 
119041.0%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size187.3 KiB
0
189879 
1
 
1773
ValueCountFrequency (%) 
018987999.1%
 
117730.9%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size187.3 KiB
0
185024 
1
 
6628
ValueCountFrequency (%) 
018502496.5%
 
166283.5%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size187.3 KiB
0
183567 
1
 
8085
ValueCountFrequency (%) 
018356795.8%
 
180854.2%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size187.3 KiB
0
184145 
1
 
7507
ValueCountFrequency (%) 
018414596.1%
 
175073.9%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size187.3 KiB
0
189559 
1
 
2093
ValueCountFrequency (%) 
018955998.9%
 
120931.1%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size187.3 KiB
0
182599 
1
 
9053
ValueCountFrequency (%) 
018259995.3%
 
190534.7%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size187.3 KiB
0
189528 
1
 
2124
ValueCountFrequency (%) 
018952898.9%
 
121241.1%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size187.3 KiB
0
190365 
1
 
1287
ValueCountFrequency (%) 
019036599.3%
 
112870.7%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size187.3 KiB
0
189683 
1
 
1969
ValueCountFrequency (%) 
018968399.0%
 
119691.0%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size187.3 KiB
0
189956 
1
 
1696
ValueCountFrequency (%) 
018995699.1%
 
116960.9%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size187.3 KiB
0
190078 
1
 
1574
ValueCountFrequency (%) 
019007899.2%
 
115740.8%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size187.3 KiB
0
187106 
1
 
4546
ValueCountFrequency (%) 
018710697.6%
 
145462.4%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size187.3 KiB
0
190830 
1
 
822
ValueCountFrequency (%) 
019083099.6%
 
18220.4%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size187.3 KiB
0
190593 
1
 
1059
ValueCountFrequency (%) 
019059399.4%
 
110590.6%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size187.3 KiB
0
190890 
1
 
762
ValueCountFrequency (%) 
019089099.6%
 
17620.4%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size187.3 KiB
0
182018 
1
 
9634
ValueCountFrequency (%) 
018201895.0%
 
196345.0%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size187.3 KiB
0
188820 
1
 
2832
ValueCountFrequency (%) 
018882098.5%
 
128321.5%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size187.3 KiB
0
190417 
1
 
1235
ValueCountFrequency (%) 
019041799.4%
 
112350.6%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size187.3 KiB
0
188566 
1
 
3086
ValueCountFrequency (%) 
018856698.4%
 
130861.6%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size187.3 KiB
0
190484 
1
 
1168
ValueCountFrequency (%) 
019048499.4%
 
111680.6%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size187.3 KiB
0
187543 
1
 
4109
ValueCountFrequency (%) 
018754397.9%
 
141092.1%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size187.3 KiB
0
188231 
1
 
3421
ValueCountFrequency (%) 
018823198.2%
 
134211.8%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size187.3 KiB
0
190458 
1
 
1194
ValueCountFrequency (%) 
019045899.4%
 
111940.6%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size187.3 KiB
0
190852 
1
 
800
ValueCountFrequency (%) 
019085299.6%
 
18000.4%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size187.3 KiB
0
190618 
1
 
1034
ValueCountFrequency (%) 
019061899.5%
 
110340.5%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size187.3 KiB
0
187400 
1
 
4252
ValueCountFrequency (%) 
018740097.8%
 
142522.2%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size187.3 KiB
0
187862 
1
 
3790
ValueCountFrequency (%) 
018786298.0%
 
137902.0%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size187.3 KiB
0
188851 
1
 
2801
ValueCountFrequency (%) 
018885198.5%
 
128011.5%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size187.3 KiB
0
189446 
1
 
2206
ValueCountFrequency (%) 
018944698.8%
 
122061.2%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size187.3 KiB
0
190629 
1
 
1023
ValueCountFrequency (%) 
019062999.5%
 
110230.5%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size187.3 KiB
0
190735 
1
 
917
ValueCountFrequency (%) 
019073599.5%
 
19170.5%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size187.3 KiB
0
190665 
1
 
987
ValueCountFrequency (%) 
019066599.5%
 
19870.5%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size187.3 KiB
0
189695 
1
 
1957
ValueCountFrequency (%) 
018969599.0%
 
119571.0%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size187.3 KiB
0
190144 
1
 
1508
ValueCountFrequency (%) 
019014499.2%
 
115080.8%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size187.3 KiB
0
191526 
1
 
126
ValueCountFrequency (%) 
019152699.9%
 
11260.1%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size187.3 KiB
0
188186 
1
 
3466
ValueCountFrequency (%) 
018818698.2%
 
134661.8%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size187.3 KiB
0
189968 
1
 
1684
ValueCountFrequency (%) 
018996899.1%
 
116840.9%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size187.3 KiB
0
191346 
1
 
306
ValueCountFrequency (%) 
019134699.8%
 
13060.2%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size187.3 KiB
0
190419 
1
 
1233
ValueCountFrequency (%) 
019041999.4%
 
112330.6%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size187.3 KiB
0
185677 
1
 
5975
ValueCountFrequency (%) 
018567796.9%
 
159753.1%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size187.3 KiB
0
187556 
1
 
4096
ValueCountFrequency (%) 
018755697.9%
 
140962.1%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size187.3 KiB
0
191295 
1
 
357
ValueCountFrequency (%) 
019129599.8%
 
13570.2%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size187.3 KiB
0
190844 
1
 
808
ValueCountFrequency (%) 
019084499.6%
 
18080.4%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size187.3 KiB
0
181614 
1
 
10038
ValueCountFrequency (%) 
018161494.8%
 
1100385.2%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size187.3 KiB
0
190999 
1
 
653
ValueCountFrequency (%) 
019099999.7%
 
16530.3%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size187.3 KiB
0
186124 
1
 
5528
ValueCountFrequency (%) 
018612497.1%
 
155282.9%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size187.3 KiB
0
187198 
1
 
4454
ValueCountFrequency (%) 
018719897.7%
 
144542.3%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size187.3 KiB
0
189980 
1
 
1672
ValueCountFrequency (%) 
018998099.1%
 
116720.9%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size187.3 KiB
0
191084 
1
 
568
ValueCountFrequency (%) 
019108499.7%
 
15680.3%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size187.3 KiB
0
191120 
1
 
532
ValueCountFrequency (%) 
019112099.7%
 
15320.3%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size187.3 KiB
0
183523 
1
 
8129
ValueCountFrequency (%) 
018352395.8%
 
181294.2%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size187.3 KiB
0
190213 
1
 
1439
ValueCountFrequency (%) 
019021399.2%
 
114390.8%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size187.3 KiB
0
191536 
1
 
116
ValueCountFrequency (%) 
019153699.9%
 
11160.1%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size187.3 KiB
0
188599 
1
 
3053
ValueCountFrequency (%) 
018859998.4%
 
130531.6%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size187.3 KiB
0
191458 
1
 
194
ValueCountFrequency (%) 
019145899.9%
 
11940.1%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size187.3 KiB
0
189399 
1
 
2253
ValueCountFrequency (%) 
018939998.8%
 
122531.2%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size187.3 KiB
0
190133 
1
 
1519
ValueCountFrequency (%) 
019013399.2%
 
115190.8%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size187.3 KiB
0
190986 
1
 
666
ValueCountFrequency (%) 
019098699.7%
 
16660.3%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size187.3 KiB
0
190042 
1
 
1610
ValueCountFrequency (%) 
019004299.2%
 
116100.8%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size187.3 KiB
0
185335 
1
 
6317
ValueCountFrequency (%) 
018533596.7%
 
163173.3%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size187.3 KiB
0
177112 
1
 
14540
ValueCountFrequency (%) 
017711292.4%
 
1145407.6%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size187.3 KiB
0
189816 
1
 
1836
ValueCountFrequency (%) 
018981699.0%
 
118361.0%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size187.3 KiB
0
189521 
1
 
2131
ValueCountFrequency (%) 
018952198.9%
 
121311.1%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size187.3 KiB
0
189349 
1
 
2303
ValueCountFrequency (%) 
018934998.8%
 
123031.2%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size187.3 KiB
0
191307 
1
 
345
ValueCountFrequency (%) 
019130799.8%
 
13450.2%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size187.3 KiB
0
159742 
1
31910 
ValueCountFrequency (%) 
015974283.4%
 
13191016.6%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size187.3 KiB
0
188033 
1
 
3619
ValueCountFrequency (%) 
018803398.1%
 
136191.9%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size187.3 KiB
0
181118 
1
 
10534
ValueCountFrequency (%) 
018111894.5%
 
1105345.5%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size187.3 KiB
0
183005 
1
 
8647
ValueCountFrequency (%) 
018300595.5%
 
186474.5%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size187.3 KiB
0
190228 
1
 
1424
ValueCountFrequency (%) 
019022899.3%
 
114240.7%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size187.3 KiB
0
180309 
1
 
11343
ValueCountFrequency (%) 
018030994.1%
 
1113435.9%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size187.3 KiB
0
148242 
1
43410 
ValueCountFrequency (%) 
014824277.3%
 
14341022.7%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size187.3 KiB
1
100860 
0
90792 
ValueCountFrequency (%) 
110086052.6%
 
09079247.4%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size187.3 KiB
0
144270 
1
47382 
ValueCountFrequency (%) 
014427075.3%
 
14738224.7%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size187.3 KiB
1
132238 
0
59414 
ValueCountFrequency (%) 
113223869.0%
 
05941431.0%